SlideShare a Scribd company logo
Basic Building Blocks for
 Biomedical Ontologies
        Barry Smith




                            1
Problems with UMLS-style
            approaches
• let a million ontologies bloom, each one close
  to the terminological habits of its authors
• in concordance with the “not invented here”
  syndrome
• then map these ontologies, and use these
  mappings to integrate your different pots of
  data
                                                   2
Mappings are hard
They create an N2 problem; are fragile, and
  expensive to maintain
Need new authorities to maintain(one for each
  pair of mapped ontologies), yielding new risk
  of forking – who will police the mappings?
The goal should be to minimize the need for
  mappings, by avoiding redundancy in the first
  place – one ontology for each domain
Invest resources in disjoint ontology modules
  which work well together – reduce need for
  mappings to minimum possible                    8
Why should you care?
• you need to create systems for data mining
  and text processing which will yield useful
  digitally coded output
• if the codes you use are constantly in need of
  ad hoc repair huge, resources will be wasted
• serious investment in annotation will be
  defeated from the start
• relevant data will not be found, because it will
  be lost in multiple semantic cemeteries
                                                     9
How to do it right?
• how create an incremental, evolutionary
  process, where what is good survives, and what
  is bad fails
• where the number of ontologies needing to be
  used together is small – integration = addition
• where these ontologies are stable
• by creating a scenario in which people will find it
  profitable to reuse ontologies, terminologies and
  coding systems which have been tried and tested
                                                  10
Reasons why GO has been
          successful
It is a system for prospective standardization
    built with coherent top level but with content
    contributed and monitored by domain specialists
Based on community consensus
Updated every night
Clear versioning principles ensure backwards
    compatibility; prior annotations do not lose their
    value
Initially low-tech to encourage users, with
    movement to more powerful formal approaches
    (including OWL-DL – though still proceeding
    caution)
                                                         11
GO has learned the lessons of
     successful cooperation

• Clear documentation
• The terms chosen are already familiar
• Fully open source (allows thorough testing in
  manifold combinations with other ontologies)
• Subjected to considerable third-party critique
• Tracker for user input and help desk with rapid
  turnaround


                                                    12
GO has been amazingly successful in
 overcoming the data balkanization
             problem
but it covers only generic biological entities of
three sorts:
    – cellular components
    – molecular functions
    – biological processes
     no diseases, symptoms, disease
     biomarkers, protein interactions,
     experimental processes …                       13
CONTINUANT                     OCCURRENT
     RELATION
      TO TIME


                  INDEPENDENT               DEPENDENT
GRANULARITY


                            Anatomical
                 Organism                 Organ
  ORGAN AND                    Entity
                  (NCBI                  Function
   ORGANISM                    (FMA,
                Taxonomy)              (FMP, CPRO) Phenotypic      Biological
                              CARO)                 Quality         Process
                                                     (PaTO)          (GO)
   CELL AND                   Cellular   Cellular
                  Cell
   CELLULAR                 Component Function
                  (CL)
  COMPONENT                 (FMA, GO)     (GO)
                     Molecule
                                         Molecular Function     Molecular Process
  MOLECULE          (ChEBI, SO,
                                               (GO)                  (GO)
                    RnaO, PrO)


OBO (Open Biomedical Ontology) Foundry proposal
                    (Gene Ontology in yellow)                                14
CONTINUANT                                        OCCURRENT
     RELATION
     TO TIME

                         INDEPENDENT                                  DEPENDENT

GRANULARITY




                                          Environment Ontology
                            Anatomical
                 Organism                                           Organ
 ORGAN AND                    Entity
                  (NCBI                                            Function
  ORGANISM                    (FMA,
                Taxonomy)                                        (FMP, CPRO) Phenotypic      Biological
                             CARO)




                                                (ENVO)
                                                                              Quality         Process
                                                                               (PaTO)          (GO)
  CELL AND                    Cellular                             Cellular
                  Cell
  CELLULAR                  Component                              Function
                  (CL)
 COMPONENT                  (FMA, GO)                               (GO)

                     Molecule
                                                                    Molecular Function    Molecular Process
  MOLECULE          (ChEBI, SO,
                                                                          (GO)                 (GO)
                    RnaO, PrO)



                     Environment Ontology
                                                                                                       15
CONTINUANT                    OCCURRENT
    RELATION
     TO TIME

                  INDEPENDENT             DEPENDENT

GRANULARITY

 COMPLEX OF     Family, Community,                Population      Population
 ORGANISMS       Deme, Population                 Phenotype        Process
                         Anatomical    Organ
 ORGAN AND      Organism    Entity    Function
  ORGANISM       (NCBI      (FMA,   (FMP, CPRO) Phenotypic
               Taxonomy)                                          Biological
                           CARO)                 Quality
                                                                   Process
                                                  (PaTO)
                                                                     (GO)
  CELL AND                 Cellular   Cellular
                  Cell
  CELLULAR               Component Function
                  (CL)
 COMPONENT               (FMA, GO)     (GO)
                     Molecule
                                        Molecular Function     Molecular Process
  MOLECULE          (ChEBI, SO,
                                              (GO)                  (GO)
                    RnaO, PrO)



               Population-level ontologies                                         16
The OBO Foundry: a step-by-step,
  evidence-based approach to
       expanding the GO
 Developers commit to working to ensure
  that, for each domain, there is community
  convergence on a single ontology
 and agree in advance to collaborate with
  developers of ontologies in adjacent
  domains.

           http://obofoundry.org             17
OBO Foundry Principles
 Common governance (coordinating editors)
 Common training
 Common architecture:
  • simple shared top level ontology (BFO)
  • shared Relation Ontology:
     www.obofoundry.org/ro




                                             18
Open Biomedical Ontologies Foundry
  Seeks to create high quality, validated terminology
  modules across all of the life sciences which will be
• one ontology for each domain, so no need for
  mappings
• close to language use of experts
• evidence-based
• incorporate a strategy for motivating potential
  developers and users
• revisable as science advances                           19
Principles
http://obofoundry.org/wiki/index.php/OBO_FoundryPrincip




                                                  20
RELATION TO              CONTINUANT                     OCCURRENT
      TIME

GRANULARITY    INDEPENDENT               DEPENDENT



                         Anatomical
             Organism                  Organ                 Organism-Level
 ORGAN AND                  Entity
               (NCBI                  Function                  Process
  ORGANISM                  (FMA,
             Taxonomy)              (FMP, CPRO) Phenotypic       (GO)
                           CARO)                 Quality
                                                  (PaTO)
  CELL AND                 Cellular   Cellular
               Cell                                          Cellular Process
  CELLULAR               Component Function
               (CL)                                               (GO)
 COMPONENT               (FMA, GO)      (GO)

                  Molecule                                     Molecular
                                      Molecular Function
 MOLECULE        (ChEBI, SO,                                    Process
                                            (GO)
                 RnaO, PrO)                                      (GO)


             OBO Foundry coverage
                                                                                21
ORTHOGONALITY

modularity ensures
  •   annotations can be additive
  •   division of labor amongst domain experts
  •   high value of training in any given module
  •   lessons learned in one module can benefit
      work on other modules
  •   incentivization of those responsible for
      individual modules

                                                   22
Benefits of coordination

•   Can more easily reuse what is made by others
•   Can more easily inspect and criticize what is
    made by others
•   Leads to innovations (e.g. Mireot strategy for
    importing terms into ontologies)




                                            23
CONTINUANT                  OCCURRENT
    RELATION
     TO TIME

                 INDEPENDENT            DEPENDENT

GRANULARITY

                         Anatomical
                Organism    Entity   Organ
 ORGAN AND
                 (NCBI      (FMA,   Function
  ORGANISM
               Taxonomy)   CARO) (FMP, CPRO) Phenotypic     Biological
                                              Quality        Process
                         XAO ZFA
                                               (PaTO)         (GO)
  CELL AND                 Cellular Cellular
                  Cell
  CELLULAR               Component Function
                  (CL)
 COMPONENT               (FMA, GO)   (GO)
                Molecule (SO, RnaO)                         Molecular
                                      Molecular Function
  MOLECULE                                                   Process
                ChEBI        PRO            (GO)
                                                              (GO)




        Current Foundry members in yellow
                                                                         24
Foundry ontologies currently under
review

Plant Ontology (PO)
Ontology for Biomedical Investigations (OBI)
Ontology for General Medical Science (OBMS)
Infectious Disease Ontology (IDO)




                                               25
top level                       Basic Formal Ontology (BFO)


                Information Artifact   Ontology for Biomedical   Ontology of General
   mid-level         Ontology              Investigations         Medical Science
                      (IAO)                    (OBI)                  (OGMS)


                  Anatomy Ontology
                   (FMA*, CARO)                          Infectious
                                                          Disease
                                         Environment     Ontology
                             Cellular
                 Cell                      Ontology        (IDO*)
                            Component
               Ontology                     (EnvO)
                             Ontology
domain level     (CL)
                           (FMA*, GO*)
                                                        Phenotypic      Biological
                                                          Quality        Process
                                                         Ontology     Ontology (GO*)
                Subcellular Anatomy Ontology (SAO)        (PaTO)
                         Sequence Ontology
                                (SO*)                    Molecular
                                                         Function
                          Protein Ontology
                                                          (GO*)
                               (PRO*)
                   OBO Foundry Modular Organization                                    26
OBI

The Ontology for Biomedical Investigations

     hfp://purl.org/obo/OBI_0000225




                                             27
Purpose of OBI

To provide a resource for the unambiguous
description of the components of
biomedical investigations such as the
design, protocols and instrumentation,
material, data and types of analysis and
statistical tools applied to the data


 NOT designed to model biology


                                            28
OBI Collaborating Communities
Crop sciences Generation Challenge Programme (GCP),
Environmental genomics MGED RSBI Group,
   www.mged.org/Workgroups/rsbi
Genomic Standards Consortium (GSC),
   www.genomics.ceh.ac.uk/genomecatalogue
HUPO Proteomics Standards Initiative (PSI), psidev.sourceforge.net
Immunology Database and Analysis Portal, www.immport.org
Immune Epitope Database and Analysis Resource (IEDB),
   http://www.immuneepitope.org/home.do
International Society for Analytical Cytology, http://www.isac-net.org/
Metabolomics Standards Initiative (MSI),
Neurogenetics, Biomedical Informatics Research Network (BIRN),
Nutrigenomics MGED RSBI Group, www.mged.org/Workgroups/rsbi
Polymorphism
Toxicogenomics MGED RSBI Group, www.mged.org/Workgroups/rsbi
Transcriptomics MGED Ontology Group
                                                                          29
30
31
32
33
Ontology for General Medical
            Science
       http://code.google.com/p/ogms/

(OBO) http://purl.obolibrary.org/obo/ogms.obo
(OWL) http://purl.obolibrary.org/obo/ogms.owl




                                                34
OGMS-based initiatives
Vital Signs Ontology (VSO) (Welch Allyn)
EHR / Demographics Ontology
Infectious Disease Ontology
Mental Health Ontology
 Emotion Ontology




                                           35
Ontology for General Medical
          Science
Jobst Landgrebe (then Co-Chair of the HL7
Vocabulary Group):
“the best ontology effort in the whole
biomedical domain by far”




                                            36
EXPERIMENTAL
  ARTIFACTS
               Ontology for Biomedical Investigations (OBI)
  CLINICAL
  MEDICINE
               Ontology of General Medical Science (OGMS)
INFORMATION
  ARTIFACTS
                   Information Artifact Ontology (IAO)



 How to keep clear about the distinction
     • processes of observation,
     • results of such processes (measurement
       data)
     • the entities observed



                                                              37
How is the OBO Foundry organized?


 • Top-Level: Basic Formal Ontology (BFO)
 • Mid-Level: IAO, OBI, OGMS ...
 • Domain-Level: Foundry Bio-Ontologies



                                        38
top level                       Basic Formal Ontology (BFO)


                Information Artifact   Ontology for Biomedical   Ontology of General
   mid-level         Ontology              Investigations         Medical Science
                      (IAO)                    (OBI)                  (OGMS)


                  Anatomy Ontology
                   (FMA*, CARO)                          Infectious
                                                          Disease
                                         Environment     Ontology
                             Cellular
                 Cell                      Ontology        (IDO*)
                            Component
               Ontology                     (EnvO)
                             Ontology
domain level     (CL)
                           (FMA*, GO*)
                                                        Phenotypic      Biological
                                                          Quality        Process
                                                         Ontology     Ontology (GO*)
                Subcellular Anatomy Ontology (SAO)        (PaTO)
                         Sequence Ontology
                                (SO*)                    Molecular
                                                         Function
                          Protein Ontology
                                                          (GO*)
                               (PRO*)
                   OBO Foundry Modular Organization                               39
BFO: the very top

         Continuant            Occurrent
                            (Process, Event)


Independent    Dependent
 Continuant    Continuant




                                               40
CONTINUANT                     OCCURRENT
    RELATION
     TO TIME


                 INDEPENDENT               DEPENDENT
GRANULARITY


                           Anatomical
                Organism                 Organ
 ORGAN AND                    Entity
                 (NCBI                  Function
  ORGANISM                    (FMA,
               Taxonomy)              (FMP, CPRO) Phenotypic      Biological
                             CARO)                 Quality         Process
                                                    (PaTO)          (GO)
  CELL AND                   Cellular   Cellular
                 Cell
  CELLULAR                 Component Function
                 (CL)
 COMPONENT                 (FMA, GO)     (GO)
                    Molecule
                                        Molecular Function     Molecular Process
  MOLECULE         (ChEBI, SO,
                                              (GO)                  (GO)
                   RnaO, PrO)




                                                                                   41
RELATION                      CONTINUANT                     OCCURRENT
      TO TIME

GRANULARITY       INDEPENDENT               DEPENDENT



                            Anatomical
                Organism                  Organ                 Organism-Level
  ORGAN AND                    Entity
                  (NCBI                  Function                  Process
   ORGANISM                    (FMA,
                Taxonomy)              (FMP, CPRO) Phenotypic       (GO)
                              CARO)                 Quality
                                                     (PaTO)
  CELL AND                    Cellular   Cellular
                  Cell                                          Cellular Process
  CELLULAR                  Component Function
                  (CL)                                               (GO)
 COMPONENT                  (FMA, GO)      (GO)

                     Molecule                                     Molecular
                                         Molecular Function
  MOLECULE          (ChEBI, SO,                                    Process
                                               (GO)
                    RnaO, PrO)                                      (GO)




                         obofoundry.org                                     42
BFO & GO

      continuant           occurrent

independent   dependent
 continuant   continuant

 cellular     molecular     biological
component      function     processes



                                         43
Basic Formal Ontology
types

         Continuant              Occurrent



                               process, event
 Independent    Dependent
  Continuant    Continuant

     thing        quality


  .... ..... .......
instances
                                                44
Experience with BFO in
    building ontologies provides
• a community of skilled ontology developers
  and users (user group has 120 members)
• associated logical tools
• documentation for different types of users
• a methodology for building conformant
  ontologies by starting with BFO and populating
  downwards

                                              45
Example: The Cell Ontology
How to build an ontology
import BFO into ontology editor such as Protégé
work with domain experts to create an initial mid-
    level classification
find ~50 most commonly used terms corresponding
    to types in reality
arrange these terms into an informal is_a hierarchy
    according to this universality principle
    A is_a B ≡ every instance of A is an instance of B
fill in missing terms to give a complete hierarchy
(leave it to domain experts to populate the lower
    levels of the hierarchy)
                                                         47
Users of BFO
PharmaOntology (W3C HCLS SIG)
MediCognos / Microsoft Healthvault
Cleveland Clinic Semantic Database in Cardiothoracic
   Surgery
Major Histocompatibility Complex (MHC) Ontology (NIAID)
Neuroscience Information Framework Standard (NIFSTD)
   and Constituent Ontologies
Interdisciplinary Prostate Ontology (IPO)
Nanoparticle Ontology (NPO): Ontology for Cancer
   Nanotechnology Research
Neural Electromagnetic Ontologies (NEMO)
ChemAxiom – Ontology for Chemistry                   49
                                         :.
Users of BFO
GO Gene Ontology
CL Cell Ontology
SO Sequence Ontology
ChEBI Chemical Ontology
PATO Phenotype (Quality) Ontology
FMA Foundational Model of Anatomy Ontology
ChEBI Chemical Entities of Biological Interest
PRO Protein Ontology
Plant Ontology
Environment Ontology
Ontology for Biomedical Investigations
RNA Ontology                                     50
                                         :.
Users of BFO
Ontology for Risks Against Patient Safety (RAPS/REMINE)
eagle-i an VIVO (NCRR)
IDO Infectious Disease Ontology (NIAID)
National Cancer Institute Biomedical Grid Terminology
  (BiomedGT)
US Army Biometrics Ontology
US Army Command and Control Ontology
Sleep Domain Ontology
Subcellular Anatomy Ontology (SAO)
Translaftional Medicine On (VO)
Yeast Ontology (yOWL)
Zebrafish Anatomical Ontology (ZAO)                   51
                                         :.
Basic Formal Ontology

      continuant           occurrent


independent   dependent
 continuant   continuant



 organism

                                       54
Continuants

• continue to exist through time,
  preserving their identity while
  undergoing different sorts of changes
• independent continuants – objects,
  things, ...
• dependent continuants – qualities,
  attributes, shapes, potentialities ...

                                           55
Occurrents
• processes, events, happenings
  – your life
  – this process of accelerated cell division




                                           56
Qualities
temperature
blood pressure
mass
...
     are continuants
  they exist through time while
  undergoing changes

                                  57
Qualities
temperature / blood pressure / mass ...

 are dimensions of variation within the
 structure of the entity
 a quality is something which can
 change while its bearer remains one
 and the same

                                          58
A Chart representing how
John’s temperature changes




                             59
A Chart representing how
John’s temperature changes




                         60
BFO: The Very Top

      continuant            occurrent


independent    dependent
 continuant    continuant


                quality


              temperature               62
Blinding Flash of the Obvious
independent   dependent
 continuant   continuant


               quality

organism
              temperature    types
                  John’s
  John
               temperature
                             instances
                                     63
Blinding Flash of the Obvious
independent   dependent
 continuant   continuant


               quality

organism
              temperature    types
                  John’s
  John
               temperature
                             instances
                                     64
Blinding Flash of the Obvious
           inheres_in
           .

organism
               temperature   types
                  John’s
 John
               temperature
                             instances


                                     65
temperature                    types


37ºC           37.1ºC          37.2ºC          37.3ºC          37.4ºC          37.5ºC


instantiates   instantiates     instantiates    instantiates    instantiates    instantiates
    at t1          at t2            at t3           at t4           at t5           at t6


                              John’s temperature


                                                       instances                   66
human                  types


embryo          fetus          neonate         infant         child          adult


 instantiates   instantiates    instantiates   instantiates   instantiates    instantiates
     at t1          at t2           at t3          at t4          at t5           at t6


                                        John


                                                        instances                67
Temperature subtypes
Development-stage subtypes

are threshold divisions (hence we do
not have sharp boundaries, and we
have a certain degree of choice, e.g. in
how many subtypes to distinguish,
though not in their ordering)



                                       68
independent   dependent
 continuant   continuant


               quality

organism
              temperature   types
                 John’s
  John
              temperature
                            instances

                                    69
independent   dependent
                               occurrent
 continuant   continuant


               quality          process

organism                       course of
              temperature    temperature
                                changes

                 John’s          John’s
  John
              temperature   temperature history
                                           70
independent   dependent
                            occurrent
 continuant   continuant


               quality      process

organism
              temperature   life of an
                            organism


                 John’s       John’s
  John
              temperature       life
                                         71
BFO: The Very Top

      continuant               occurrent

independent    dependent
 continuant    continuant


         quality      disposition


                                           72
BFO: The Very Top

      continuant            occurrent


independent    dependent
 continuant    continuant

              quality
              function
              role
              disposition
                                        73
disposition
- of   a glass vase, to shatter if dropped
- of   a human, to eat
- of   a banana, to ripen
- of   John, to lose hair




                                       74
disposition
if it ceases to exist, then its bearer
and/or its immediate surrounding
environment is physically changed
its realization occurs when its bearer is in
some special physical circumstances
its realization is what it is in virtue of the
bearer’s physical make-up

                                           75
independent      dependent
                                   occurrent
 continuant      continuant


                  function          process
   eye
                   to see          process of
                                     seeing


John’s eye    function of John’s   John seeing
                 eye: to see
                                                80
OGMS
  Ontology for General Medical
             Science

http://code.google.com/p/ogms


                                 88
R T U New York State
         Center of Excellence in
         Bioinformatics & Life
         Sciences
 Ontology of General Medical Science (OGMS)
• ontology for the representation of
  – diseases, signs, symptoms
  – clinical processes
  – diagnosis, treatment and outcomes
• fundamental idea:
  – a disease is a disposition rooted in some
    (physical) disorder in the organism
                                                89
R T U New York State
         Center of Excellence in
         Bioinformatics & Life
         Sciences
                     Motivation
• Clarity about:
  – disease etiology and progression
  – disease and the diagnostic process
  – phenotype and signs/symptoms
  – entities in reality and observations of sucn
    entities


                                                   90
Physical Disorder




                    91
Physical Disorder
– independent
   continuant
   fiat object part

   A causally linked
   combination of physical
   components of the
   extended organism that
   is clinically abnormal.        92
                             :.
Clinically abnormal

– (1) not part of the life plan for an organism
  of the relevant type (unlike aging or
  pregnancy),
– (2) causally linked to an elevated risk
  either of pain or other feelings of illness,
  or of death or dysfunction, and
– (3) such that the elevated risk exceeds a
  certain threshold level.*

*Compare: baldness
                                                  93
Big Picture




              94
Pathological Process
=def. A bodily process that is a
manifestation of a disorder and is clinically
abnormal.


Disease =def. – A disposition to undergo
pathological processes that exists in an
organism because of one or more
disorders in that organism.
                                          95
Cirrhosis - environmental exposure
•    Etiological process - phenobarbitol-induced hepatic cell death
      – produces
•    Disorder - necrotic liver
      – bears
•    Disposition (disease) - cirrhosis
      – realized_in
•    Pathological process - abnormal tissue repair with cell proliferation
     and fibrosis that exceed a certain threshold; hypoxia-induced cell
     death
      – produces
•    Abnormal bodily features
      – recognized_as
•    Symptoms - fatigue, anorexia
•    Signs - jaundice, enlarged spleen
                                                                        96
Dispositions and Predispositions
 All diseases are dispositions; not all
 dispositions are diseases.

 Predisposition to Disease
 =def. – A disposition in an organism that
 constitutes an increased risk of the
 organism’s subsequently developing some
 disease.

                                          97
HNPCC - genetic pre-disposition
• Etiological process - inheritance of a mutant mismatch repair gene
   – produces
• Disorder - chromosome 3 with abnormal hMLH1
   – bears
• Disposition (disease) - Lynch syndrome
   – realized_in
• Pathological process - abnormal repair of DNA mismatches
   – produces
• Disorder - mutations in proto-oncogenes and tumor suppressor genes
  with microsatellite repeats (e.g. TGF-beta R2)
   – bears
• Disposition (disease) - non-polyposis colon cancer
   – realized in
• Symptoms (including pain)

                                                                 98
Huntington’s Disease - genetic
•   Etiological process - inheritance of         Symptoms & Signs
    >39 CAG repeats in the HTT gene                used_in
      – produces                                 Interpretive process
•   Disorder - chromosome 4 with
                                                   produces
    abnormal mHTT
      – bears                                    Hypothesis - rule out Huntington’s
•   Disposition (disease) - Huntington’s           suggests
    disease                                      Laboratory tests
      – realized_in                                produces
•   Pathological process - accumulation of
    mHTT protein fragments, abnormal
                                                 Test results - molecular detection of
    transcription regulation, neuronal cell       the HTT gene with >39CAG repeats
    death in striatum                              used_in
      – produces                                 Interpretive process
•   Abnormal bodily features                       produces
      – recognized_as                            Result - diagnosis that patient X has a
•   Symptoms - anxiety, depression                disorder that bears the disease
•   Signs - difficulties in speaking and          Huntington’s disease
    swallowing
                                                                                   99
HNPCC - genetic pre-disposition
• Etiological process - inheritance of a mutant mismatch repair
  gene
   – produces
• Disorder - chromosome 3 with abnormal hMLH1
   – bears
• Disposition (disease) - Lynch syndrome
   – realized_in
• Pathological process - abnormal repair of DNA mismatches
   – produces
• Disorder - mutations in proto-oncogenes and tumor
  suppressor genes with microsatellite repeats (e.g. TGF-beta
  R2)
   – bears
• Disposition (disease) - non-polyposis colon cancer         100
Cirrhosis - environmental exposure
•   Etiological process - phenobarbitol-        Symptoms & Signs
    induced hepatic cell death                    used_in

      – produces                                Interpretive process
                                                  produces
•   Disorder - necrotic liver
      – bears                                   Hypothesis - rule out cirrhosis
                                                  suggests
•   Disposition (disease) - cirrhosis
                                                Laboratory tests
      – realized_in
                                                  produces
•   Pathological process - abnormal tissue      Test results - elevated liver enzymes
    repair with cell proliferation and           in serum
    fibrosis that exceed a certain                used_in
    threshold; hypoxia-induced cell death
                                                Interpretive process
      – produces                                  produces
•   Abnormal bodily features                    Result - diagnosis that patient X has a
      – recognized_as                            disorder that bears the disease
•   Symptoms - fatigue, anorexia                 cirrhosis
•   Signs - jaundice, splenomegaly
                                                                                 101
Systemic arterial hypertension
•   Etiological process – abnormal               Symptoms & Signs
    reabsorption of NaCl by the kidney             used_in

     – produces                                  Interpretive process
                                                   produces
•   Disorder – abnormally large scattered
    molecular aggregate of salt in the           Hypothesis - rule out hypertension
    blood                                          suggests

     – bears                                     Laboratory tests
                                                   produces
•   Disposition (disease) - hypertension
     – realized_in                               Test results -
                                                   used_in
•   Pathological process – exertion of
    abnormal pressure against arterial wall
                                                 Interpretive process
                                                   produces
     – produces
                                                 Result - diagnosis that patient X has a
•   Abnormal bodily features
                                                  disorder that bears the disease hypertension
     – recognized_as
•   Symptoms - headaches, dizziness
•   Signs – elevated blood pressure
                                                                                   102
Type 2 Diabetes Mellitus
•   Etiological process –
                                             Symptoms & Signs
     – produces
                                               used_in
•   Disorder – abnormal pancreatic beta      Interpretive process
    cells and abnormal muscle/fat cells
                                               produces
     – bears
                                             Hypothesis - rule out diabetes mellitus
•   Disposition (disease) – diabetes           suggests
    mellitus                                 Laboratory tests – fasting serum blood
     – realized_in                            glucose, oral glucose challenge test, and/or
•   Pathological processes – diminished       blood hemoglobin A1c
    insulin production , diminished            produces
    muscle/fat uptake of glucose             Test results -
     – produces                                used_in

•   Abnormal bodily features                 Interpretive process
     – recognized_as                           produces

•   Symptoms – polydipsia, polyuria,
                                             Result - diagnosis that patient X has a
    polyphagia, blurred vision                disorder that bears the disease type 2
                                              diabetes mellitus
•   Signs – elevated blood glucose and
    hemoglobin A1c                                                              103
Type 1 hypersensitivity to penicillin
•   Etiological process – sensitizing of mast
    cells and basophils during exposure to
                                                   Symptoms & Signs
                                                     used_in
    penicillin-class substance
     – produces                                    Interpretive process
                                                     produces
•   Disorder – mast cells and basophils with
    epitope-specific IgE bound to Fc epsilon       Hypothesis -
                                                     suggests
    receptor I
     – bears                                       Laboratory tests –
                                                     produces
•   Disposition (disease) – type I
    hypersensitivity                               Test results – occasionally, skin testing
                                                     used_in
     – realized_in
•
                                                   Interpretive process
    Pathological process – type I
                                                     produces
    hypersensitivity reaction
     – produces
                                                   Result - diagnosis that patient X has a
                                                    disorder that bears the disease type 1
•   Abnormal bodily features                        hypersensitivity to penicillin
     – recognized_as
•   Symptoms – pruritis, shortness of breath
•   Signs – rash, urticaria, anaphylaxis                                             104
105
Disease vs. Disease course

Disease =def. – A disposition to undergo
pathological processes that exists in an
organism because of one or more
disorders in that organism.
Disease course =def. – The aggregate of
processes in which a disease disposition
is realized.
                                     106
coronary heart
                          disease
   disease
 associated          disease         disease
  with early    associated with    associated
 lesions and     asymptomatic     with surface         unstable         stable
small fibrous       (‘silent’)    disruption of         angina          angina
   plaques         infarction        plaque


 instantiates      instantiates   instantiates    instantiates    instantiates
     at t1             at t2          at t3           at t4           at t5


                John’s coronary heart disease


                                                                      107
                                  time
independent    dependent
                                 occurrent
 continuant    continuant


               disposition        process

 disorder                        course of
                 disease
                                  disease

  John’s          John’s
disordered    coronary heart   course of John’s
   heart         disease           disease

                                             108
Examples of ontology terms
                  OGMS                 IDO

Independent                         Infectious
                  Disorder
Continuant                           disorder

                                    Infectious
                  Disease            disease
Dependent
Continuant    Predisposition to     Protective
                  disease           resistance

                                     Infectious
Occurrent     Disease course
                                  disease course
IDO (Infectious Disease Ontology) Core
   Follows GO strategy of providing a
   canonical ontology of what is involved
   in every infectious disease – host,
   pathogen, vector, virulence, vaccine,
   transmission – accompanied by IDO
   Extensions for specific diseases,
   pathogens and vectors
   Provides common terminology resources
   and tested common guidelines for a
   vast array of different disease
   communities                           110
Infectious Disease Ontology Consortium
  • MITRE, Mount Sinai, UTSouthwestern –
    Influenza
  • IMBB/VectorBase – Vector borne diseases (A.
    gambiae, A. aegypti, I. scapularis, C. pipiens,
    P. humanus)
  • Colorado State University – Dengue Fever
  • Duke University – Tuberculosis, Staph. aureus
  • Cleveland Clinic – Infective Endocarditis
  • University of Michigan – Brucellosis
  • Duke University, University at Buffalo – HIV
                                                111
Influenza - infectious
• Etiological process - infection of airway epithelial cells with
  influenza virus
   – produces
• Disorder - viable cells with influenza virus
   – bears
• Disposition (disease) - flu
   – realized_in
• Pathological process - acute inflammation
   – produces
• Abnormal bodily features
   – recognized_as
• Symptoms - weakness, dizziness
• Signs - fever                                                  112
Influenza – disease course
• Etiological process - infection of airway epithelial cells with
  influenza virus
   – produces
• Disorder - viable cells with influenza virus
   – bears
• Disposition (disease) - flu
   – realized_in
• Pathological process - The disorder also induces normal
                          acute inflammation
   – produces             physiological processes (immune
• Abnormal bodily featuresresponse) that can results in the
   – recognized_as        elimination of the disorder (transient
• Symptoms - weakness, dizziness
                          disease course).
• Signs - fever                                                  113
Big Picture




              114

More Related Content

Similar to Biomedical ontology tutorial_atlanta_june2011_part2

Basic Formal Ontology (BFO) and Disease
 Basic Formal Ontology (BFO) and Disease Basic Formal Ontology (BFO) and Disease
Basic Formal Ontology (BFO) and Disease
Barry Smith
 
OBO Foundry
OBO FoundryOBO Foundry
OBO Foundry
Chris Mungall
 
Integrating Pathway Databases with Gene Ontology Causal Activity Models
Integrating Pathway Databases with Gene Ontology Causal Activity ModelsIntegrating Pathway Databases with Gene Ontology Causal Activity Models
Integrating Pathway Databases with Gene Ontology Causal Activity Models
Benjamin Good
 
Cross Product Extensions to the Gene Ontology
Cross Product Extensions to the Gene OntologyCross Product Extensions to the Gene Ontology
Cross Product Extensions to the Gene Ontology
Chris Mungall
 
Basic Formal Ontology: A Common Standard
Basic Formal Ontology: A Common StandardBasic Formal Ontology: A Common Standard
Basic Formal Ontology: A Common Standard
Barry Smith
 
Applying Ontology Design Patterns in bio-ontologies
Applying Ontology Design Patterns in bio-ontologiesApplying Ontology Design Patterns in bio-ontologies
Applying Ontology Design Patterns in bio-ontologies
Mikel Egaña Aranguren, Ph.D.
 
Function and Phenotype Prediction through Data and Knowledge Fusion
Function and Phenotype Prediction through Data and Knowledge FusionFunction and Phenotype Prediction through Data and Knowledge Fusion
Function and Phenotype Prediction through Data and Knowledge Fusion
Karin Verspoor
 
OPPL-Galaxy: Enhancing ontology exploitation in Galaxy with OPPL
OPPL-Galaxy: Enhancing ontology exploitation in Galaxy with OPPLOPPL-Galaxy: Enhancing ontology exploitation in Galaxy with OPPL
OPPL-Galaxy: Enhancing ontology exploitation in Galaxy with OPPL
Mikel Egaña Aranguren, Ph.D.
 
P
 Systems 
Model 
Optimisation 
by
 Means 
of 
Evolutionary 
Based 
Search
 ...
P
 Systems 
Model 
Optimisation 
by
 Means 
of 
Evolutionary 
Based 
Search
 ...P
 Systems 
Model 
Optimisation 
by
 Means 
of 
Evolutionary 
Based 
Search
 ...
P
 Systems 
Model 
Optimisation 
by
 Means 
of 
Evolutionary 
Based 
Search
 ...
Natalio Krasnogor
 
9th ITAB 2009 Parallel-MEGA
9th ITAB 2009 Parallel-MEGA9th ITAB 2009 Parallel-MEGA
9th ITAB 2009 Parallel-MEGA
Christos Kannas
 
Introduction to Ontologies for Environmental Biology
Introduction to Ontologies for Environmental BiologyIntroduction to Ontologies for Environmental Biology
Introduction to Ontologies for Environmental Biology
Barry Smith
 
University of Toronto Chemistry Librarians Workshop June 2012
University of Toronto Chemistry Librarians Workshop June 2012University of Toronto Chemistry Librarians Workshop June 2012
University of Toronto Chemistry Librarians Workshop June 2012
Brock University
 
Computational Protein Design. 1. Challenges in Protein Engineering
Computational Protein Design. 1. Challenges in Protein EngineeringComputational Protein Design. 1. Challenges in Protein Engineering
Computational Protein Design. 1. Challenges in Protein Engineering
Pablo Carbonell
 
bioinformatics enabling knowledge generation from agricultural omics data
bioinformatics enabling knowledge generation from agricultural omics databioinformatics enabling knowledge generation from agricultural omics data
bioinformatics enabling knowledge generation from agricultural omics data
International Institute of Tropical Agriculture
 
Research report (alternative splicing, protein structure; retinitis pigmentosa)
Research report (alternative splicing, protein structure; retinitis pigmentosa)Research report (alternative splicing, protein structure; retinitis pigmentosa)
Research report (alternative splicing, protein structure; retinitis pigmentosa)
avalgar
 
Scratchpads in the Biodiversity Informatics Landscape
Scratchpads in the Biodiversity Informatics LandscapeScratchpads in the Biodiversity Informatics Landscape
Scratchpads in the Biodiversity Informatics Landscape
Vince Smith
 
Team presentation min
Team presentation minTeam presentation min
Team presentation min
Choo Yang
 
Towards integration of systems biology and biomedical ontologies
Towards integration of systems biology and biomedical ontologiesTowards integration of systems biology and biomedical ontologies
Towards integration of systems biology and biomedical ontologies
Robert Hoehndorf
 
Reasoning over phenotype diversity, character change, and evolutionary descent
Reasoning over phenotype diversity, character change, and evolutionary descentReasoning over phenotype diversity, character change, and evolutionary descent
Reasoning over phenotype diversity, character change, and evolutionary descent
Hilmar Lapp
 
Detection of genomic homology in eukaryotic genomes
Detection of genomic homology in eukaryotic genomesDetection of genomic homology in eukaryotic genomes
Detection of genomic homology in eukaryotic genomes
Klaas Vandepoele
 

Similar to Biomedical ontology tutorial_atlanta_june2011_part2 (20)

Basic Formal Ontology (BFO) and Disease
 Basic Formal Ontology (BFO) and Disease Basic Formal Ontology (BFO) and Disease
Basic Formal Ontology (BFO) and Disease
 
OBO Foundry
OBO FoundryOBO Foundry
OBO Foundry
 
Integrating Pathway Databases with Gene Ontology Causal Activity Models
Integrating Pathway Databases with Gene Ontology Causal Activity ModelsIntegrating Pathway Databases with Gene Ontology Causal Activity Models
Integrating Pathway Databases with Gene Ontology Causal Activity Models
 
Cross Product Extensions to the Gene Ontology
Cross Product Extensions to the Gene OntologyCross Product Extensions to the Gene Ontology
Cross Product Extensions to the Gene Ontology
 
Basic Formal Ontology: A Common Standard
Basic Formal Ontology: A Common StandardBasic Formal Ontology: A Common Standard
Basic Formal Ontology: A Common Standard
 
Applying Ontology Design Patterns in bio-ontologies
Applying Ontology Design Patterns in bio-ontologiesApplying Ontology Design Patterns in bio-ontologies
Applying Ontology Design Patterns in bio-ontologies
 
Function and Phenotype Prediction through Data and Knowledge Fusion
Function and Phenotype Prediction through Data and Knowledge FusionFunction and Phenotype Prediction through Data and Knowledge Fusion
Function and Phenotype Prediction through Data and Knowledge Fusion
 
OPPL-Galaxy: Enhancing ontology exploitation in Galaxy with OPPL
OPPL-Galaxy: Enhancing ontology exploitation in Galaxy with OPPLOPPL-Galaxy: Enhancing ontology exploitation in Galaxy with OPPL
OPPL-Galaxy: Enhancing ontology exploitation in Galaxy with OPPL
 
P
 Systems 
Model 
Optimisation 
by
 Means 
of 
Evolutionary 
Based 
Search
 ...
P
 Systems 
Model 
Optimisation 
by
 Means 
of 
Evolutionary 
Based 
Search
 ...P
 Systems 
Model 
Optimisation 
by
 Means 
of 
Evolutionary 
Based 
Search
 ...
P
 Systems 
Model 
Optimisation 
by
 Means 
of 
Evolutionary 
Based 
Search
 ...
 
9th ITAB 2009 Parallel-MEGA
9th ITAB 2009 Parallel-MEGA9th ITAB 2009 Parallel-MEGA
9th ITAB 2009 Parallel-MEGA
 
Introduction to Ontologies for Environmental Biology
Introduction to Ontologies for Environmental BiologyIntroduction to Ontologies for Environmental Biology
Introduction to Ontologies for Environmental Biology
 
University of Toronto Chemistry Librarians Workshop June 2012
University of Toronto Chemistry Librarians Workshop June 2012University of Toronto Chemistry Librarians Workshop June 2012
University of Toronto Chemistry Librarians Workshop June 2012
 
Computational Protein Design. 1. Challenges in Protein Engineering
Computational Protein Design. 1. Challenges in Protein EngineeringComputational Protein Design. 1. Challenges in Protein Engineering
Computational Protein Design. 1. Challenges in Protein Engineering
 
bioinformatics enabling knowledge generation from agricultural omics data
bioinformatics enabling knowledge generation from agricultural omics databioinformatics enabling knowledge generation from agricultural omics data
bioinformatics enabling knowledge generation from agricultural omics data
 
Research report (alternative splicing, protein structure; retinitis pigmentosa)
Research report (alternative splicing, protein structure; retinitis pigmentosa)Research report (alternative splicing, protein structure; retinitis pigmentosa)
Research report (alternative splicing, protein structure; retinitis pigmentosa)
 
Scratchpads in the Biodiversity Informatics Landscape
Scratchpads in the Biodiversity Informatics LandscapeScratchpads in the Biodiversity Informatics Landscape
Scratchpads in the Biodiversity Informatics Landscape
 
Team presentation min
Team presentation minTeam presentation min
Team presentation min
 
Towards integration of systems biology and biomedical ontologies
Towards integration of systems biology and biomedical ontologiesTowards integration of systems biology and biomedical ontologies
Towards integration of systems biology and biomedical ontologies
 
Reasoning over phenotype diversity, character change, and evolutionary descent
Reasoning over phenotype diversity, character change, and evolutionary descentReasoning over phenotype diversity, character change, and evolutionary descent
Reasoning over phenotype diversity, character change, and evolutionary descent
 
Detection of genomic homology in eukaryotic genomes
Detection of genomic homology in eukaryotic genomesDetection of genomic homology in eukaryotic genomes
Detection of genomic homology in eukaryotic genomes
 

More from Barry Smith

Towards an Ontology of Philosophy
Towards an Ontology of PhilosophyTowards an Ontology of Philosophy
Towards an Ontology of Philosophy
Barry Smith
 
An application of Basic Formal Ontology to the Ontology of Services and Commo...
An application of Basic Formal Ontology to the Ontology of Services and Commo...An application of Basic Formal Ontology to the Ontology of Services and Commo...
An application of Basic Formal Ontology to the Ontology of Services and Commo...
Barry Smith
 
Ways of Worldmarking: The Ontology of the Eruv
Ways of Worldmarking: The Ontology of the EruvWays of Worldmarking: The Ontology of the Eruv
Ways of Worldmarking: The Ontology of the Eruv
Barry Smith
 
The Division of Deontic Labor
The Division of Deontic LaborThe Division of Deontic Labor
The Division of Deontic Labor
Barry Smith
 
Ontology of Aging (August 2014)
Ontology of Aging (August 2014)Ontology of Aging (August 2014)
Ontology of Aging (August 2014)
Barry Smith
 
Meaningful Use
Meaningful UseMeaningful Use
Meaningful Use
Barry Smith
 
The Fifth Cycle of Philosophy
The Fifth Cycle of PhilosophyThe Fifth Cycle of Philosophy
The Fifth Cycle of Philosophy
Barry Smith
 
Ontology of Poker
Ontology of PokerOntology of Poker
Ontology of Poker
Barry Smith
 
Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...
Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...
Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...
Barry Smith
 
The Philosophome: An Exercise in the Ontology of the Humanities
The Philosophome: An Exercise in the Ontology of the HumanitiesThe Philosophome: An Exercise in the Ontology of the Humanities
The Philosophome: An Exercise in the Ontology of the Humanities
Barry Smith
 
IAO-Intel: An Ontology of Information Artifacts in the Intelligence Domain
IAO-Intel: An Ontology of Information Artifacts in the Intelligence DomainIAO-Intel: An Ontology of Information Artifacts in the Intelligence Domain
IAO-Intel: An Ontology of Information Artifacts in the Intelligence Domain
Barry Smith
 
Science of Emerging Social Media
Science of Emerging Social MediaScience of Emerging Social Media
Science of Emerging Social Media
Barry Smith
 
e‐Human Beings: The contribution of internet ranking systems to the developme...
e‐Human Beings: The contribution of internet ranking systems to the developme...e‐Human Beings: The contribution of internet ranking systems to the developme...
e‐Human Beings: The contribution of internet ranking systems to the developme...
Barry Smith
 
Ontology of aging and death
Ontology of aging and deathOntology of aging and death
Ontology of aging and death
Barry Smith
 
Ontology in-buffalo-2013
Ontology in-buffalo-2013Ontology in-buffalo-2013
Ontology in-buffalo-2013
Barry Smith
 
ImmPort strategies to enhance discoverability of clinical trial data
ImmPort strategies to enhance discoverability of clinical trial dataImmPort strategies to enhance discoverability of clinical trial data
ImmPort strategies to enhance discoverability of clinical trial data
Barry Smith
 
Ontology of Documents (2005)
Ontology of Documents (2005)Ontology of Documents (2005)
Ontology of Documents (2005)
Barry Smith
 
Ontology and the National Cancer Institute Thesaurus (2005)
Ontology and the National Cancer Institute Thesaurus (2005)Ontology and the National Cancer Institute Thesaurus (2005)
Ontology and the National Cancer Institute Thesaurus (2005)
Barry Smith
 
Introduction to the Logic of Definitions
Introduction to the Logic of DefinitionsIntroduction to the Logic of Definitions
Introduction to the Logic of Definitions
Barry Smith
 
Ontology in Buffalo -- Big Data 2013
Ontology in Buffalo -- Big Data 2013Ontology in Buffalo -- Big Data 2013
Ontology in Buffalo -- Big Data 2013
Barry Smith
 

More from Barry Smith (20)

Towards an Ontology of Philosophy
Towards an Ontology of PhilosophyTowards an Ontology of Philosophy
Towards an Ontology of Philosophy
 
An application of Basic Formal Ontology to the Ontology of Services and Commo...
An application of Basic Formal Ontology to the Ontology of Services and Commo...An application of Basic Formal Ontology to the Ontology of Services and Commo...
An application of Basic Formal Ontology to the Ontology of Services and Commo...
 
Ways of Worldmarking: The Ontology of the Eruv
Ways of Worldmarking: The Ontology of the EruvWays of Worldmarking: The Ontology of the Eruv
Ways of Worldmarking: The Ontology of the Eruv
 
The Division of Deontic Labor
The Division of Deontic LaborThe Division of Deontic Labor
The Division of Deontic Labor
 
Ontology of Aging (August 2014)
Ontology of Aging (August 2014)Ontology of Aging (August 2014)
Ontology of Aging (August 2014)
 
Meaningful Use
Meaningful UseMeaningful Use
Meaningful Use
 
The Fifth Cycle of Philosophy
The Fifth Cycle of PhilosophyThe Fifth Cycle of Philosophy
The Fifth Cycle of Philosophy
 
Ontology of Poker
Ontology of PokerOntology of Poker
Ontology of Poker
 
Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...
Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...
Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...
 
The Philosophome: An Exercise in the Ontology of the Humanities
The Philosophome: An Exercise in the Ontology of the HumanitiesThe Philosophome: An Exercise in the Ontology of the Humanities
The Philosophome: An Exercise in the Ontology of the Humanities
 
IAO-Intel: An Ontology of Information Artifacts in the Intelligence Domain
IAO-Intel: An Ontology of Information Artifacts in the Intelligence DomainIAO-Intel: An Ontology of Information Artifacts in the Intelligence Domain
IAO-Intel: An Ontology of Information Artifacts in the Intelligence Domain
 
Science of Emerging Social Media
Science of Emerging Social MediaScience of Emerging Social Media
Science of Emerging Social Media
 
e‐Human Beings: The contribution of internet ranking systems to the developme...
e‐Human Beings: The contribution of internet ranking systems to the developme...e‐Human Beings: The contribution of internet ranking systems to the developme...
e‐Human Beings: The contribution of internet ranking systems to the developme...
 
Ontology of aging and death
Ontology of aging and deathOntology of aging and death
Ontology of aging and death
 
Ontology in-buffalo-2013
Ontology in-buffalo-2013Ontology in-buffalo-2013
Ontology in-buffalo-2013
 
ImmPort strategies to enhance discoverability of clinical trial data
ImmPort strategies to enhance discoverability of clinical trial dataImmPort strategies to enhance discoverability of clinical trial data
ImmPort strategies to enhance discoverability of clinical trial data
 
Ontology of Documents (2005)
Ontology of Documents (2005)Ontology of Documents (2005)
Ontology of Documents (2005)
 
Ontology and the National Cancer Institute Thesaurus (2005)
Ontology and the National Cancer Institute Thesaurus (2005)Ontology and the National Cancer Institute Thesaurus (2005)
Ontology and the National Cancer Institute Thesaurus (2005)
 
Introduction to the Logic of Definitions
Introduction to the Logic of DefinitionsIntroduction to the Logic of Definitions
Introduction to the Logic of Definitions
 
Ontology in Buffalo -- Big Data 2013
Ontology in Buffalo -- Big Data 2013Ontology in Buffalo -- Big Data 2013
Ontology in Buffalo -- Big Data 2013
 

Biomedical ontology tutorial_atlanta_june2011_part2

  • 1. Basic Building Blocks for Biomedical Ontologies Barry Smith 1
  • 2. Problems with UMLS-style approaches • let a million ontologies bloom, each one close to the terminological habits of its authors • in concordance with the “not invented here” syndrome • then map these ontologies, and use these mappings to integrate your different pots of data 2
  • 3. Mappings are hard They create an N2 problem; are fragile, and expensive to maintain Need new authorities to maintain(one for each pair of mapped ontologies), yielding new risk of forking – who will police the mappings? The goal should be to minimize the need for mappings, by avoiding redundancy in the first place – one ontology for each domain Invest resources in disjoint ontology modules which work well together – reduce need for mappings to minimum possible 8
  • 4. Why should you care? • you need to create systems for data mining and text processing which will yield useful digitally coded output • if the codes you use are constantly in need of ad hoc repair huge, resources will be wasted • serious investment in annotation will be defeated from the start • relevant data will not be found, because it will be lost in multiple semantic cemeteries 9
  • 5. How to do it right? • how create an incremental, evolutionary process, where what is good survives, and what is bad fails • where the number of ontologies needing to be used together is small – integration = addition • where these ontologies are stable • by creating a scenario in which people will find it profitable to reuse ontologies, terminologies and coding systems which have been tried and tested 10
  • 6. Reasons why GO has been successful It is a system for prospective standardization built with coherent top level but with content contributed and monitored by domain specialists Based on community consensus Updated every night Clear versioning principles ensure backwards compatibility; prior annotations do not lose their value Initially low-tech to encourage users, with movement to more powerful formal approaches (including OWL-DL – though still proceeding caution) 11
  • 7. GO has learned the lessons of successful cooperation • Clear documentation • The terms chosen are already familiar • Fully open source (allows thorough testing in manifold combinations with other ontologies) • Subjected to considerable third-party critique • Tracker for user input and help desk with rapid turnaround 12
  • 8. GO has been amazingly successful in overcoming the data balkanization problem but it covers only generic biological entities of three sorts: – cellular components – molecular functions – biological processes no diseases, symptoms, disease biomarkers, protein interactions, experimental processes … 13
  • 9. CONTINUANT OCCURRENT RELATION TO TIME INDEPENDENT DEPENDENT GRANULARITY Anatomical Organism Organ ORGAN AND Entity (NCBI Function ORGANISM (FMA, Taxonomy) (FMP, CPRO) Phenotypic Biological CARO) Quality Process (PaTO) (GO) CELL AND Cellular Cellular Cell CELLULAR Component Function (CL) COMPONENT (FMA, GO) (GO) Molecule Molecular Function Molecular Process MOLECULE (ChEBI, SO, (GO) (GO) RnaO, PrO) OBO (Open Biomedical Ontology) Foundry proposal (Gene Ontology in yellow) 14
  • 10. CONTINUANT OCCURRENT RELATION TO TIME INDEPENDENT DEPENDENT GRANULARITY Environment Ontology Anatomical Organism Organ ORGAN AND Entity (NCBI Function ORGANISM (FMA, Taxonomy) (FMP, CPRO) Phenotypic Biological CARO) (ENVO) Quality Process (PaTO) (GO) CELL AND Cellular Cellular Cell CELLULAR Component Function (CL) COMPONENT (FMA, GO) (GO) Molecule Molecular Function Molecular Process MOLECULE (ChEBI, SO, (GO) (GO) RnaO, PrO) Environment Ontology 15
  • 11. CONTINUANT OCCURRENT RELATION TO TIME INDEPENDENT DEPENDENT GRANULARITY COMPLEX OF Family, Community, Population Population ORGANISMS Deme, Population Phenotype Process Anatomical Organ ORGAN AND Organism Entity Function ORGANISM (NCBI (FMA, (FMP, CPRO) Phenotypic Taxonomy) Biological CARO) Quality Process (PaTO) (GO) CELL AND Cellular Cellular Cell CELLULAR Component Function (CL) COMPONENT (FMA, GO) (GO) Molecule Molecular Function Molecular Process MOLECULE (ChEBI, SO, (GO) (GO) RnaO, PrO) Population-level ontologies 16
  • 12. The OBO Foundry: a step-by-step, evidence-based approach to expanding the GO  Developers commit to working to ensure that, for each domain, there is community convergence on a single ontology  and agree in advance to collaborate with developers of ontologies in adjacent domains. http://obofoundry.org 17
  • 13. OBO Foundry Principles  Common governance (coordinating editors)  Common training  Common architecture: • simple shared top level ontology (BFO) • shared Relation Ontology: www.obofoundry.org/ro 18
  • 14. Open Biomedical Ontologies Foundry Seeks to create high quality, validated terminology modules across all of the life sciences which will be • one ontology for each domain, so no need for mappings • close to language use of experts • evidence-based • incorporate a strategy for motivating potential developers and users • revisable as science advances 19
  • 16. RELATION TO CONTINUANT OCCURRENT TIME GRANULARITY INDEPENDENT DEPENDENT Anatomical Organism Organ Organism-Level ORGAN AND Entity (NCBI Function Process ORGANISM (FMA, Taxonomy) (FMP, CPRO) Phenotypic (GO) CARO) Quality (PaTO) CELL AND Cellular Cellular Cell Cellular Process CELLULAR Component Function (CL) (GO) COMPONENT (FMA, GO) (GO) Molecule Molecular Molecular Function MOLECULE (ChEBI, SO, Process (GO) RnaO, PrO) (GO) OBO Foundry coverage 21
  • 17. ORTHOGONALITY modularity ensures • annotations can be additive • division of labor amongst domain experts • high value of training in any given module • lessons learned in one module can benefit work on other modules • incentivization of those responsible for individual modules 22
  • 18. Benefits of coordination • Can more easily reuse what is made by others • Can more easily inspect and criticize what is made by others • Leads to innovations (e.g. Mireot strategy for importing terms into ontologies) 23
  • 19. CONTINUANT OCCURRENT RELATION TO TIME INDEPENDENT DEPENDENT GRANULARITY Anatomical Organism Entity Organ ORGAN AND (NCBI (FMA, Function ORGANISM Taxonomy) CARO) (FMP, CPRO) Phenotypic Biological Quality Process XAO ZFA (PaTO) (GO) CELL AND Cellular Cellular Cell CELLULAR Component Function (CL) COMPONENT (FMA, GO) (GO) Molecule (SO, RnaO) Molecular Molecular Function MOLECULE Process ChEBI PRO (GO) (GO) Current Foundry members in yellow 24
  • 20. Foundry ontologies currently under review Plant Ontology (PO) Ontology for Biomedical Investigations (OBI) Ontology for General Medical Science (OBMS) Infectious Disease Ontology (IDO) 25
  • 21. top level Basic Formal Ontology (BFO) Information Artifact Ontology for Biomedical Ontology of General mid-level Ontology Investigations Medical Science (IAO) (OBI) (OGMS) Anatomy Ontology (FMA*, CARO) Infectious Disease Environment Ontology Cellular Cell Ontology (IDO*) Component Ontology (EnvO) Ontology domain level (CL) (FMA*, GO*) Phenotypic Biological Quality Process Ontology Ontology (GO*) Subcellular Anatomy Ontology (SAO) (PaTO) Sequence Ontology (SO*) Molecular Function Protein Ontology (GO*) (PRO*) OBO Foundry Modular Organization 26
  • 22. OBI The Ontology for Biomedical Investigations hfp://purl.org/obo/OBI_0000225 27
  • 23. Purpose of OBI To provide a resource for the unambiguous description of the components of biomedical investigations such as the design, protocols and instrumentation, material, data and types of analysis and statistical tools applied to the data  NOT designed to model biology 28
  • 24. OBI Collaborating Communities Crop sciences Generation Challenge Programme (GCP), Environmental genomics MGED RSBI Group, www.mged.org/Workgroups/rsbi Genomic Standards Consortium (GSC), www.genomics.ceh.ac.uk/genomecatalogue HUPO Proteomics Standards Initiative (PSI), psidev.sourceforge.net Immunology Database and Analysis Portal, www.immport.org Immune Epitope Database and Analysis Resource (IEDB), http://www.immuneepitope.org/home.do International Society for Analytical Cytology, http://www.isac-net.org/ Metabolomics Standards Initiative (MSI), Neurogenetics, Biomedical Informatics Research Network (BIRN), Nutrigenomics MGED RSBI Group, www.mged.org/Workgroups/rsbi Polymorphism Toxicogenomics MGED RSBI Group, www.mged.org/Workgroups/rsbi Transcriptomics MGED Ontology Group 29
  • 25. 30
  • 26. 31
  • 27. 32
  • 28. 33
  • 29. Ontology for General Medical Science http://code.google.com/p/ogms/ (OBO) http://purl.obolibrary.org/obo/ogms.obo (OWL) http://purl.obolibrary.org/obo/ogms.owl 34
  • 30. OGMS-based initiatives Vital Signs Ontology (VSO) (Welch Allyn) EHR / Demographics Ontology Infectious Disease Ontology Mental Health Ontology Emotion Ontology 35
  • 31. Ontology for General Medical Science Jobst Landgrebe (then Co-Chair of the HL7 Vocabulary Group): “the best ontology effort in the whole biomedical domain by far” 36
  • 32. EXPERIMENTAL ARTIFACTS Ontology for Biomedical Investigations (OBI) CLINICAL MEDICINE Ontology of General Medical Science (OGMS) INFORMATION ARTIFACTS Information Artifact Ontology (IAO) How to keep clear about the distinction • processes of observation, • results of such processes (measurement data) • the entities observed 37
  • 33. How is the OBO Foundry organized? • Top-Level: Basic Formal Ontology (BFO) • Mid-Level: IAO, OBI, OGMS ... • Domain-Level: Foundry Bio-Ontologies 38
  • 34. top level Basic Formal Ontology (BFO) Information Artifact Ontology for Biomedical Ontology of General mid-level Ontology Investigations Medical Science (IAO) (OBI) (OGMS) Anatomy Ontology (FMA*, CARO) Infectious Disease Environment Ontology Cellular Cell Ontology (IDO*) Component Ontology (EnvO) Ontology domain level (CL) (FMA*, GO*) Phenotypic Biological Quality Process Ontology Ontology (GO*) Subcellular Anatomy Ontology (SAO) (PaTO) Sequence Ontology (SO*) Molecular Function Protein Ontology (GO*) (PRO*) OBO Foundry Modular Organization 39
  • 35. BFO: the very top Continuant Occurrent (Process, Event) Independent Dependent Continuant Continuant 40
  • 36. CONTINUANT OCCURRENT RELATION TO TIME INDEPENDENT DEPENDENT GRANULARITY Anatomical Organism Organ ORGAN AND Entity (NCBI Function ORGANISM (FMA, Taxonomy) (FMP, CPRO) Phenotypic Biological CARO) Quality Process (PaTO) (GO) CELL AND Cellular Cellular Cell CELLULAR Component Function (CL) COMPONENT (FMA, GO) (GO) Molecule Molecular Function Molecular Process MOLECULE (ChEBI, SO, (GO) (GO) RnaO, PrO) 41
  • 37. RELATION CONTINUANT OCCURRENT TO TIME GRANULARITY INDEPENDENT DEPENDENT Anatomical Organism Organ Organism-Level ORGAN AND Entity (NCBI Function Process ORGANISM (FMA, Taxonomy) (FMP, CPRO) Phenotypic (GO) CARO) Quality (PaTO) CELL AND Cellular Cellular Cell Cellular Process CELLULAR Component Function (CL) (GO) COMPONENT (FMA, GO) (GO) Molecule Molecular Molecular Function MOLECULE (ChEBI, SO, Process (GO) RnaO, PrO) (GO) obofoundry.org 42
  • 38. BFO & GO continuant occurrent independent dependent continuant continuant cellular molecular biological component function processes 43
  • 39. Basic Formal Ontology types Continuant Occurrent process, event Independent Dependent Continuant Continuant thing quality .... ..... ....... instances 44
  • 40. Experience with BFO in building ontologies provides • a community of skilled ontology developers and users (user group has 120 members) • associated logical tools • documentation for different types of users • a methodology for building conformant ontologies by starting with BFO and populating downwards 45
  • 41. Example: The Cell Ontology
  • 42. How to build an ontology import BFO into ontology editor such as Protégé work with domain experts to create an initial mid- level classification find ~50 most commonly used terms corresponding to types in reality arrange these terms into an informal is_a hierarchy according to this universality principle A is_a B ≡ every instance of A is an instance of B fill in missing terms to give a complete hierarchy (leave it to domain experts to populate the lower levels of the hierarchy) 47
  • 43. Users of BFO PharmaOntology (W3C HCLS SIG) MediCognos / Microsoft Healthvault Cleveland Clinic Semantic Database in Cardiothoracic Surgery Major Histocompatibility Complex (MHC) Ontology (NIAID) Neuroscience Information Framework Standard (NIFSTD) and Constituent Ontologies Interdisciplinary Prostate Ontology (IPO) Nanoparticle Ontology (NPO): Ontology for Cancer Nanotechnology Research Neural Electromagnetic Ontologies (NEMO) ChemAxiom – Ontology for Chemistry 49 :.
  • 44. Users of BFO GO Gene Ontology CL Cell Ontology SO Sequence Ontology ChEBI Chemical Ontology PATO Phenotype (Quality) Ontology FMA Foundational Model of Anatomy Ontology ChEBI Chemical Entities of Biological Interest PRO Protein Ontology Plant Ontology Environment Ontology Ontology for Biomedical Investigations RNA Ontology 50 :.
  • 45. Users of BFO Ontology for Risks Against Patient Safety (RAPS/REMINE) eagle-i an VIVO (NCRR) IDO Infectious Disease Ontology (NIAID) National Cancer Institute Biomedical Grid Terminology (BiomedGT) US Army Biometrics Ontology US Army Command and Control Ontology Sleep Domain Ontology Subcellular Anatomy Ontology (SAO) Translaftional Medicine On (VO) Yeast Ontology (yOWL) Zebrafish Anatomical Ontology (ZAO) 51 :.
  • 46. Basic Formal Ontology continuant occurrent independent dependent continuant continuant organism 54
  • 47. Continuants • continue to exist through time, preserving their identity while undergoing different sorts of changes • independent continuants – objects, things, ... • dependent continuants – qualities, attributes, shapes, potentialities ... 55
  • 48. Occurrents • processes, events, happenings – your life – this process of accelerated cell division 56
  • 49. Qualities temperature blood pressure mass ... are continuants they exist through time while undergoing changes 57
  • 50. Qualities temperature / blood pressure / mass ... are dimensions of variation within the structure of the entity a quality is something which can change while its bearer remains one and the same 58
  • 51. A Chart representing how John’s temperature changes 59
  • 52. A Chart representing how John’s temperature changes 60
  • 53. BFO: The Very Top continuant occurrent independent dependent continuant continuant quality temperature 62
  • 54. Blinding Flash of the Obvious independent dependent continuant continuant quality organism temperature types John’s John temperature instances 63
  • 55. Blinding Flash of the Obvious independent dependent continuant continuant quality organism temperature types John’s John temperature instances 64
  • 56. Blinding Flash of the Obvious inheres_in . organism temperature types John’s John temperature instances 65
  • 57. temperature types 37ºC 37.1ºC 37.2ºC 37.3ºC 37.4ºC 37.5ºC instantiates instantiates instantiates instantiates instantiates instantiates at t1 at t2 at t3 at t4 at t5 at t6 John’s temperature instances 66
  • 58. human types embryo fetus neonate infant child adult instantiates instantiates instantiates instantiates instantiates instantiates at t1 at t2 at t3 at t4 at t5 at t6 John instances 67
  • 59. Temperature subtypes Development-stage subtypes are threshold divisions (hence we do not have sharp boundaries, and we have a certain degree of choice, e.g. in how many subtypes to distinguish, though not in their ordering) 68
  • 60. independent dependent continuant continuant quality organism temperature types John’s John temperature instances 69
  • 61. independent dependent occurrent continuant continuant quality process organism course of temperature temperature changes John’s John’s John temperature temperature history 70
  • 62. independent dependent occurrent continuant continuant quality process organism temperature life of an organism John’s John’s John temperature life 71
  • 63. BFO: The Very Top continuant occurrent independent dependent continuant continuant quality disposition 72
  • 64. BFO: The Very Top continuant occurrent independent dependent continuant continuant quality function role disposition 73
  • 65. disposition - of a glass vase, to shatter if dropped - of a human, to eat - of a banana, to ripen - of John, to lose hair 74
  • 66. disposition if it ceases to exist, then its bearer and/or its immediate surrounding environment is physically changed its realization occurs when its bearer is in some special physical circumstances its realization is what it is in virtue of the bearer’s physical make-up 75
  • 67. independent dependent occurrent continuant continuant function process eye to see process of seeing John’s eye function of John’s John seeing eye: to see 80
  • 68. OGMS Ontology for General Medical Science http://code.google.com/p/ogms 88
  • 69. R T U New York State Center of Excellence in Bioinformatics & Life Sciences Ontology of General Medical Science (OGMS) • ontology for the representation of – diseases, signs, symptoms – clinical processes – diagnosis, treatment and outcomes • fundamental idea: – a disease is a disposition rooted in some (physical) disorder in the organism 89
  • 70. R T U New York State Center of Excellence in Bioinformatics & Life Sciences Motivation • Clarity about: – disease etiology and progression – disease and the diagnostic process – phenotype and signs/symptoms – entities in reality and observations of sucn entities 90
  • 72. Physical Disorder – independent continuant fiat object part A causally linked combination of physical components of the extended organism that is clinically abnormal. 92 :.
  • 73. Clinically abnormal – (1) not part of the life plan for an organism of the relevant type (unlike aging or pregnancy), – (2) causally linked to an elevated risk either of pain or other feelings of illness, or of death or dysfunction, and – (3) such that the elevated risk exceeds a certain threshold level.* *Compare: baldness 93
  • 75. Pathological Process =def. A bodily process that is a manifestation of a disorder and is clinically abnormal. Disease =def. – A disposition to undergo pathological processes that exists in an organism because of one or more disorders in that organism. 95
  • 76. Cirrhosis - environmental exposure • Etiological process - phenobarbitol-induced hepatic cell death – produces • Disorder - necrotic liver – bears • Disposition (disease) - cirrhosis – realized_in • Pathological process - abnormal tissue repair with cell proliferation and fibrosis that exceed a certain threshold; hypoxia-induced cell death – produces • Abnormal bodily features – recognized_as • Symptoms - fatigue, anorexia • Signs - jaundice, enlarged spleen 96
  • 77. Dispositions and Predispositions All diseases are dispositions; not all dispositions are diseases. Predisposition to Disease =def. – A disposition in an organism that constitutes an increased risk of the organism’s subsequently developing some disease. 97
  • 78. HNPCC - genetic pre-disposition • Etiological process - inheritance of a mutant mismatch repair gene – produces • Disorder - chromosome 3 with abnormal hMLH1 – bears • Disposition (disease) - Lynch syndrome – realized_in • Pathological process - abnormal repair of DNA mismatches – produces • Disorder - mutations in proto-oncogenes and tumor suppressor genes with microsatellite repeats (e.g. TGF-beta R2) – bears • Disposition (disease) - non-polyposis colon cancer – realized in • Symptoms (including pain) 98
  • 79. Huntington’s Disease - genetic • Etiological process - inheritance of  Symptoms & Signs >39 CAG repeats in the HTT gene  used_in – produces  Interpretive process • Disorder - chromosome 4 with  produces abnormal mHTT – bears  Hypothesis - rule out Huntington’s • Disposition (disease) - Huntington’s  suggests disease  Laboratory tests – realized_in  produces • Pathological process - accumulation of mHTT protein fragments, abnormal  Test results - molecular detection of transcription regulation, neuronal cell the HTT gene with >39CAG repeats death in striatum  used_in – produces  Interpretive process • Abnormal bodily features  produces – recognized_as  Result - diagnosis that patient X has a • Symptoms - anxiety, depression disorder that bears the disease • Signs - difficulties in speaking and Huntington’s disease swallowing 99
  • 80. HNPCC - genetic pre-disposition • Etiological process - inheritance of a mutant mismatch repair gene – produces • Disorder - chromosome 3 with abnormal hMLH1 – bears • Disposition (disease) - Lynch syndrome – realized_in • Pathological process - abnormal repair of DNA mismatches – produces • Disorder - mutations in proto-oncogenes and tumor suppressor genes with microsatellite repeats (e.g. TGF-beta R2) – bears • Disposition (disease) - non-polyposis colon cancer 100
  • 81. Cirrhosis - environmental exposure • Etiological process - phenobarbitol-  Symptoms & Signs induced hepatic cell death  used_in – produces  Interpretive process  produces • Disorder - necrotic liver – bears  Hypothesis - rule out cirrhosis  suggests • Disposition (disease) - cirrhosis  Laboratory tests – realized_in  produces • Pathological process - abnormal tissue  Test results - elevated liver enzymes repair with cell proliferation and in serum fibrosis that exceed a certain  used_in threshold; hypoxia-induced cell death  Interpretive process – produces  produces • Abnormal bodily features  Result - diagnosis that patient X has a – recognized_as disorder that bears the disease • Symptoms - fatigue, anorexia cirrhosis • Signs - jaundice, splenomegaly 101
  • 82. Systemic arterial hypertension • Etiological process – abnormal  Symptoms & Signs reabsorption of NaCl by the kidney  used_in – produces  Interpretive process  produces • Disorder – abnormally large scattered molecular aggregate of salt in the  Hypothesis - rule out hypertension blood  suggests – bears  Laboratory tests  produces • Disposition (disease) - hypertension – realized_in  Test results -  used_in • Pathological process – exertion of abnormal pressure against arterial wall  Interpretive process  produces – produces  Result - diagnosis that patient X has a • Abnormal bodily features disorder that bears the disease hypertension – recognized_as • Symptoms - headaches, dizziness • Signs – elevated blood pressure 102
  • 83. Type 2 Diabetes Mellitus • Etiological process –  Symptoms & Signs – produces  used_in • Disorder – abnormal pancreatic beta  Interpretive process cells and abnormal muscle/fat cells  produces – bears  Hypothesis - rule out diabetes mellitus • Disposition (disease) – diabetes  suggests mellitus  Laboratory tests – fasting serum blood – realized_in glucose, oral glucose challenge test, and/or • Pathological processes – diminished blood hemoglobin A1c insulin production , diminished  produces muscle/fat uptake of glucose  Test results - – produces  used_in • Abnormal bodily features  Interpretive process – recognized_as  produces • Symptoms – polydipsia, polyuria,  Result - diagnosis that patient X has a polyphagia, blurred vision disorder that bears the disease type 2 diabetes mellitus • Signs – elevated blood glucose and hemoglobin A1c 103
  • 84. Type 1 hypersensitivity to penicillin • Etiological process – sensitizing of mast cells and basophils during exposure to  Symptoms & Signs  used_in penicillin-class substance – produces  Interpretive process  produces • Disorder – mast cells and basophils with epitope-specific IgE bound to Fc epsilon  Hypothesis -  suggests receptor I – bears  Laboratory tests –  produces • Disposition (disease) – type I hypersensitivity  Test results – occasionally, skin testing  used_in – realized_in •  Interpretive process Pathological process – type I  produces hypersensitivity reaction – produces  Result - diagnosis that patient X has a disorder that bears the disease type 1 • Abnormal bodily features hypersensitivity to penicillin – recognized_as • Symptoms – pruritis, shortness of breath • Signs – rash, urticaria, anaphylaxis 104
  • 85. 105
  • 86. Disease vs. Disease course Disease =def. – A disposition to undergo pathological processes that exists in an organism because of one or more disorders in that organism. Disease course =def. – The aggregate of processes in which a disease disposition is realized. 106
  • 87. coronary heart disease disease associated disease disease with early associated with associated lesions and asymptomatic with surface unstable stable small fibrous (‘silent’) disruption of angina angina plaques infarction plaque instantiates instantiates instantiates instantiates instantiates at t1 at t2 at t3 at t4 at t5 John’s coronary heart disease 107 time
  • 88. independent dependent occurrent continuant continuant disposition process disorder course of disease disease John’s John’s disordered coronary heart course of John’s heart disease disease 108
  • 89. Examples of ontology terms OGMS IDO Independent Infectious Disorder Continuant disorder Infectious Disease disease Dependent Continuant Predisposition to Protective disease resistance Infectious Occurrent Disease course disease course
  • 90. IDO (Infectious Disease Ontology) Core Follows GO strategy of providing a canonical ontology of what is involved in every infectious disease – host, pathogen, vector, virulence, vaccine, transmission – accompanied by IDO Extensions for specific diseases, pathogens and vectors Provides common terminology resources and tested common guidelines for a vast array of different disease communities 110
  • 91. Infectious Disease Ontology Consortium • MITRE, Mount Sinai, UTSouthwestern – Influenza • IMBB/VectorBase – Vector borne diseases (A. gambiae, A. aegypti, I. scapularis, C. pipiens, P. humanus) • Colorado State University – Dengue Fever • Duke University – Tuberculosis, Staph. aureus • Cleveland Clinic – Infective Endocarditis • University of Michigan – Brucellosis • Duke University, University at Buffalo – HIV 111
  • 92. Influenza - infectious • Etiological process - infection of airway epithelial cells with influenza virus – produces • Disorder - viable cells with influenza virus – bears • Disposition (disease) - flu – realized_in • Pathological process - acute inflammation – produces • Abnormal bodily features – recognized_as • Symptoms - weakness, dizziness • Signs - fever 112
  • 93. Influenza – disease course • Etiological process - infection of airway epithelial cells with influenza virus – produces • Disorder - viable cells with influenza virus – bears • Disposition (disease) - flu – realized_in • Pathological process - The disorder also induces normal acute inflammation – produces physiological processes (immune • Abnormal bodily featuresresponse) that can results in the – recognized_as elimination of the disorder (transient • Symptoms - weakness, dizziness disease course). • Signs - fever 113
  • 94. Big Picture 114

Editor's Notes

  1. http://dbpedia.org/fct/images/lod-datasets_2009-03-27_colored.png
  2. http://bioportal.bioontology.org/visualize/42182/?id=HP:0000001#mappings accessed 1/25/2010
  3. http://bioportal.bioontology.org/visualize/42182/?id=HP:0000001#mappings accessed 1/25/2010
  4. http://bioportal.bioontology.org/visualize/42182/?id=HP:0000001#mappings accessed 1/25/2010
  5. http://bioportal.bioontology.org/visualize/42182/?id=HP:0000001#mappings accessed 1/25/2010
  6. * = dedicated NIH funding
  7. * = dedicated NIH funding
  8. with thanks to Robert Arp
  9. with thanks to Robert Arp
  10. lower lever of types does not ‘carry identity’ in OntoClean terms
  11. with thanks to Robert Arp
  12. your colors make this slide unreadable on my machine;’ to enable their own existence’ is clumsy English, another  some other
  13. power = capability? ‘power’ normally means social power
  14. italicize ‘t’ for time
  15. Answer the following questions.
  16. http://books.google.co.uk/books?id=EqEa2hf7U2AC&pg=PA459&lpg=PA459&dq=a+heart+disease+that+comes+in+successive+phases&source=bl&ots=1pbSgZIa8u&sig=Zp0OwNJjeniJi-KbMOjQ5_v3w-o&hl=en&ei=vPx7S566EIv60wSg9eXYBQ&sa=X&oi=book_result&ct=result&resnum=4&ved=0CBMQ6AEwAw#v=snippet&q=late&f=false