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Application of the Spreading Activation
    Technique for Recommending
Concepts of well-known Ontologies in
           Medical Systems
                    José María Álvarez Rodríguez
                        WESO-Universidad de Oviedo
                           http://purl.org/weso/

     First International Workshop on Semantic Applied Technologies on Biomedical
                                Informatics (SATBI 2011)

       In conjunction with ACM International Conference on Bioinformatics and
                          Computational Biology (ACM-BCB)

                        Chicago, IL, U.S.A. August 1-3, 2011
Introduction
Psycho linguistics
      and
Semantic priming
Retrieve data as
 brain can do


...a connectionist
      method
New information
   realm...
Semantic Technologies
    Linked Data...
  Different scopes...
E-Health, E-procurement,
           etc.
E-Health Sector
      Need to automate
         processes
  combine and synthesize complex
    related pieces of information
facilitate access to clinical information
identify patterns within the patient data
                   …
How to select
related concepts
  (symptoms &
   diseases)?
Tagging of EHR



    CDSS
Graph Exploration
  Document Retrieval
 Information Retrieval
 Annotation & Tagging
Recommending engines
Semantic Search Engines
Open GALEN
“Ontologies” are considered
categories: 23,141 concepts
      950 relations…
 to facilitate clinical apps &
            statistics
SNOMED CT
765,000 active English-language
         descriptions
   830,000 logically-defining
        relationships…

   Data retrieve & analysis,
          tagging…
Summary...
       Concepts
       Relations
Apps to retrieve, analyze,
        annotate
  …a huge amount of
      medical data
GRAPH
EXPLORATION?
Spreading Activation
       (SA)


           3 Stages
     Activation function
Calculation of activation value
       Constrained SA
       Stop condition
3 Stages
        Preadjustment
Initial nodes, weights of relations, set
              functions…
           Execution
 Spread the activation value, graph
           exploration…
       Postadjustment
            Rank nodes…
Variables & Constants
/         


     E

     E

     t
Activation function



Calculation of activation
          value
Graphically Activation
      function
Constrained SA
                   Distance
Nodes far from an activate node should be penalized

                     Path
      Path of activation built by the algorithm

                  Fan out
Nodes highly connected should not be representative

      Activation-threshold
Spread nodes have an activation value = threshold
Stop Condition

There is no node to spread
 with an activation value
             
   Min Activation Value
         Threshold
ONTOSPREAD
        http://code.google.com/p/ontospread/


               API Java
Extensible (intensive use of design patterns)

Add new constraints to SA
 Context, time, output degradation …
                 3 Tools
    library, test module  graphical
                 debugger
New constraints
1) Context of activation
2) Min activation value*
3) Max  Min spread
   concepts
4) Time of execution
5) Degradation Functions
Degradation Functions
1) Generic

2) Distance-Based

3) Beats-based (k number of iterations)
Converging Paths
    Reward
Implementation
1) Set of activated nodes


2) Set of spread nodes


 3) Activation value
ONTOSPREAD in
    Action
^   Z
Methodology
1.   Select well-known ontologies
2.   Define a set of initial concepts
3.   Specify the weight of relations
4.   Combine restrictions
5.   Select degradation function
6.   Add reward function
7.   Test  repeat!
Open GALEN
1. Ontology
2. #Advanced-BreastCancer 
   NAMEDSymptom
3. Default value 1.0
4. Constrained SA + New restrictions
5. H1 H2
6. No | Yes
SNOMED-CT
1. Ontology
2. #Articular cartilage of lunate 
   #Articular tissue sample
3. Default value 1.0
4. Constrained SA + New restrictions
5. H1 H2
6. No | Yes
Use Cases
        BOPA Project
  (semantic searh engine of legal documents)
  http://www.w3.org/2001/sw/sweo/public/UseCases/CTIC/




      10ders Project
(recommendation of public procurement notices)
              http://purl.org/weso/moldeas/
Evaluation
1.    Close to the human brain
      behaviour
2.    Configurable  extensible
      framework
3.    Flexibility  scalability
              ..but...

A domain-expert is still needed
Further Steps
1.   Automatic configuration of
     the algorithm
2.   Development of Map-
     Reduce version of SA (to
     be published)
Application of the Spreading Activation
    Technique for Recommending
Concepts of well-known Ontologies in
           Medical Systems
                    José María Álvarez Rodríguez
                        WESO-Universidad de Oviedo
                           http://purl.org/weso/

     First International Workshop on Semantic Applied Technologies on Biomedical
                                Informatics (SATBI 2011)

       In conjunction with ACM International Conference on Bioinformatics and
                          Computational Biology (ACM-BCB)

                        Chicago, IL, U.S.A. August 1-3, 2011

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WESO SATBI 2011

  • 1. Application of the Spreading Activation Technique for Recommending Concepts of well-known Ontologies in Medical Systems José María Álvarez Rodríguez WESO-Universidad de Oviedo http://purl.org/weso/ First International Workshop on Semantic Applied Technologies on Biomedical Informatics (SATBI 2011) In conjunction with ACM International Conference on Bioinformatics and Computational Biology (ACM-BCB) Chicago, IL, U.S.A. August 1-3, 2011
  • 2. Introduction Psycho linguistics and Semantic priming
  • 3. Retrieve data as brain can do ...a connectionist method
  • 4. New information realm... Semantic Technologies Linked Data... Different scopes... E-Health, E-procurement, etc.
  • 5. E-Health Sector Need to automate processes combine and synthesize complex related pieces of information facilitate access to clinical information identify patterns within the patient data …
  • 6. How to select related concepts (symptoms & diseases)?
  • 8. Graph Exploration Document Retrieval Information Retrieval Annotation & Tagging Recommending engines Semantic Search Engines
  • 9. Open GALEN “Ontologies” are considered categories: 23,141 concepts 950 relations… to facilitate clinical apps & statistics
  • 10. SNOMED CT 765,000 active English-language descriptions 830,000 logically-defining relationships… Data retrieve & analysis, tagging…
  • 11. Summary... Concepts Relations Apps to retrieve, analyze, annotate …a huge amount of medical data
  • 13. Spreading Activation (SA) 3 Stages Activation function Calculation of activation value Constrained SA Stop condition
  • 14. 3 Stages Preadjustment Initial nodes, weights of relations, set functions… Execution Spread the activation value, graph exploration… Postadjustment Rank nodes…
  • 18. Constrained SA Distance Nodes far from an activate node should be penalized Path Path of activation built by the algorithm Fan out Nodes highly connected should not be representative Activation-threshold Spread nodes have an activation value = threshold
  • 19. Stop Condition There is no node to spread with an activation value Min Activation Value Threshold
  • 20. ONTOSPREAD http://code.google.com/p/ontospread/ API Java Extensible (intensive use of design patterns) Add new constraints to SA Context, time, output degradation … 3 Tools library, test module graphical debugger
  • 21. New constraints 1) Context of activation 2) Min activation value* 3) Max Min spread concepts 4) Time of execution 5) Degradation Functions
  • 22. Degradation Functions 1) Generic 2) Distance-Based 3) Beats-based (k number of iterations)
  • 24. Implementation 1) Set of activated nodes 2) Set of spread nodes 3) Activation value
  • 25.
  • 26. ONTOSPREAD in Action
  • 27. ^ Z
  • 28. Methodology 1. Select well-known ontologies 2. Define a set of initial concepts 3. Specify the weight of relations 4. Combine restrictions 5. Select degradation function 6. Add reward function 7. Test repeat!
  • 29. Open GALEN 1. Ontology 2. #Advanced-BreastCancer NAMEDSymptom 3. Default value 1.0 4. Constrained SA + New restrictions 5. H1 H2 6. No | Yes
  • 30.
  • 31. SNOMED-CT 1. Ontology 2. #Articular cartilage of lunate #Articular tissue sample 3. Default value 1.0 4. Constrained SA + New restrictions 5. H1 H2 6. No | Yes
  • 32.
  • 33. Use Cases BOPA Project (semantic searh engine of legal documents) http://www.w3.org/2001/sw/sweo/public/UseCases/CTIC/ 10ders Project (recommendation of public procurement notices) http://purl.org/weso/moldeas/
  • 34. Evaluation 1. Close to the human brain behaviour 2. Configurable extensible framework 3. Flexibility scalability ..but... A domain-expert is still needed
  • 35. Further Steps 1. Automatic configuration of the algorithm 2. Development of Map- Reduce version of SA (to be published)
  • 36. Application of the Spreading Activation Technique for Recommending Concepts of well-known Ontologies in Medical Systems José María Álvarez Rodríguez WESO-Universidad de Oviedo http://purl.org/weso/ First International Workshop on Semantic Applied Technologies on Biomedical Informatics (SATBI 2011) In conjunction with ACM International Conference on Bioinformatics and Computational Biology (ACM-BCB) Chicago, IL, U.S.A. August 1-3, 2011