This document introduces a course on interoperability and semantic technologies. It defines interoperability and its different levels, including functional and semantic interoperability. It also discusses challenges related to standardization in healthcare like the variety of standards, the need for translation between standards, and the high costs of a lack of interoperability. Finally, it presents how semantic technologies like RDF, SPARQL and OWL can help address these challenges by providing flexible models and languages that can embrace change and translation.
The third lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It presents an introduction to the Semantic Web taking a brief walk through in this 15 years of research, standardisation and industrial uptake.
Bi-later integration are a short term approach to business integration, but only standards provide a long term solution. Unfortunately, agreeing on standards is hard and takes time, thus translation between standards is unavoidable. Embracing change is the only way to benefit from short term translation while developing over time comprehensive standards. Semantic technologies are design with flexibility in mind and, therefore, they can help in developing more comprehensive standards and easier to maintain translations.
Listening to the pulse of our cities with Stream Reasoning (and few more tech...Emanuele Della Valle
The digital reflection of our cities is sharpening and it is tracking their evolution with a decreasing delay. However, we risk that data piles up without easing decision making. This key note, which I gave at the 12th Semantic Web Summer School, presents how stream reasoning (an approach to tame simultaneously the variety and velocity dimensions of Big Data) and advance visual analytics can support decision makers and discusses the lesson learnt.
The second lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It discusses interoperability using HL7 v2 and v3 as examples of syntactic and semantic interoperability, respectively.
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...Emanuele Della Valle
More and more applications require real-time processing of heterogeneous data streams. In terms of the “Vs” of Big Data (volume, velocity, variety and veracity), they require addressing velocity and variety at the same time. Big Data solutions able to handle separately velocity and variety have been around for a while, but only Stream Reasoning approaches those two dimensions at once. Current results in the Stream Reasoning field are relevant for application areas that require to: handle massive datasets, process data streams on the fly, cope with heterogeneous incomplete and noisy data, provide reactive answers, support fine-grained information access, and integrate complex domain models. This talk starting from those requirements, frames the problem addressed by Stream Reasoning. It poses the research question and operationalise it with four simpler sub-questions. It describes how the database group of Politecnico di Milano positively answered those sub-questions in the last 7 years of research. It briefly surveys alternative approaches investigated by other research groups world wide and it elaborates on current limitations and open challenges.
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...Emanuele Della Valle
The digital reflection of our cities is sharpening and it is tracking their evolution with a decreasing delay. This happens thanks to the pervasive deployment of sensors, the wide adoption of smart phones, the usage of (location-based) social networks and the availability of datasets about urban environment. So while data becomes every day more abundant, decision makers face the challenge to increase their capability to create value out of the analysis of this data. This key note presents how advance visual analytics, ontology base data access and information flow processing methods can help in making sense of Social Media Streams and Call Data Records from Mobile Network Operators during city scale events. Real-world deployments demonstrate the ability of those methods to advance our ability to feel the pulse of our cities in order to deliver innovative services.
The 10 minutes presentation I gave at my PhD defence on 21.9.2015 in Amsterdam. Prof. Frank van Harmelen was my promoter. Prof. Ian Horrocks, prof. Manfred Hauswirth, prof. Geert-Jan Houben, Peter Boncz and prof. Guus Schreiber were my opponents.
It's a Streaming World! Reasoning upon Rapidly Changing Information (Milano, ...Emanuele Della Valle
Reasoning on rapidly chancing information requires: a) semantic models for representing both data streams and continuous querying/reasoning tasks, and b) reasoning algorithms optimised for continuous reactive query-answering. This talk presents applications cases from which Stream Reasoning requirements were elicited, it briefly covers the findings of 5 year of research, it presents an optimised algorithm for Incremental Reasoning on RDF Streams (IMaRS), and offers an outlook on future research opportunities.
The third lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It presents an introduction to the Semantic Web taking a brief walk through in this 15 years of research, standardisation and industrial uptake.
Bi-later integration are a short term approach to business integration, but only standards provide a long term solution. Unfortunately, agreeing on standards is hard and takes time, thus translation between standards is unavoidable. Embracing change is the only way to benefit from short term translation while developing over time comprehensive standards. Semantic technologies are design with flexibility in mind and, therefore, they can help in developing more comprehensive standards and easier to maintain translations.
Listening to the pulse of our cities with Stream Reasoning (and few more tech...Emanuele Della Valle
The digital reflection of our cities is sharpening and it is tracking their evolution with a decreasing delay. However, we risk that data piles up without easing decision making. This key note, which I gave at the 12th Semantic Web Summer School, presents how stream reasoning (an approach to tame simultaneously the variety and velocity dimensions of Big Data) and advance visual analytics can support decision makers and discusses the lesson learnt.
The second lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It discusses interoperability using HL7 v2 and v3 as examples of syntactic and semantic interoperability, respectively.
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...Emanuele Della Valle
More and more applications require real-time processing of heterogeneous data streams. In terms of the “Vs” of Big Data (volume, velocity, variety and veracity), they require addressing velocity and variety at the same time. Big Data solutions able to handle separately velocity and variety have been around for a while, but only Stream Reasoning approaches those two dimensions at once. Current results in the Stream Reasoning field are relevant for application areas that require to: handle massive datasets, process data streams on the fly, cope with heterogeneous incomplete and noisy data, provide reactive answers, support fine-grained information access, and integrate complex domain models. This talk starting from those requirements, frames the problem addressed by Stream Reasoning. It poses the research question and operationalise it with four simpler sub-questions. It describes how the database group of Politecnico di Milano positively answered those sub-questions in the last 7 years of research. It briefly surveys alternative approaches investigated by other research groups world wide and it elaborates on current limitations and open challenges.
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...Emanuele Della Valle
The digital reflection of our cities is sharpening and it is tracking their evolution with a decreasing delay. This happens thanks to the pervasive deployment of sensors, the wide adoption of smart phones, the usage of (location-based) social networks and the availability of datasets about urban environment. So while data becomes every day more abundant, decision makers face the challenge to increase their capability to create value out of the analysis of this data. This key note presents how advance visual analytics, ontology base data access and information flow processing methods can help in making sense of Social Media Streams and Call Data Records from Mobile Network Operators during city scale events. Real-world deployments demonstrate the ability of those methods to advance our ability to feel the pulse of our cities in order to deliver innovative services.
The 10 minutes presentation I gave at my PhD defence on 21.9.2015 in Amsterdam. Prof. Frank van Harmelen was my promoter. Prof. Ian Horrocks, prof. Manfred Hauswirth, prof. Geert-Jan Houben, Peter Boncz and prof. Guus Schreiber were my opponents.
It's a Streaming World! Reasoning upon Rapidly Changing Information (Milano, ...Emanuele Della Valle
Reasoning on rapidly chancing information requires: a) semantic models for representing both data streams and continuous querying/reasoning tasks, and b) reasoning algorithms optimised for continuous reactive query-answering. This talk presents applications cases from which Stream Reasoning requirements were elicited, it briefly covers the findings of 5 year of research, it presents an optimised algorithm for Incremental Reasoning on RDF Streams (IMaRS), and offers an outlook on future research opportunities.
From the semantic interoperability problem to Google's knowledge graph passing from the Semantic Web, Linked Data, Yahoo! search monkey, Facebook Open Graph, and schema.org.
s developing mash-ups with Web 2.0 really much easier than using Semantic Web technologies? For instance, given a music style as an input, what it takes to retrieve data from online music archives (MusicBrainz, MusicBrainz D2R Server, MusicMoz) and event databases (EVDB)? What to merge them and to let the users explore the results? Are Semantic Web technologies up to this Web 2.0 challenge? This half-day tutorial shows how to realize a Semantic Web Application we named Music Event Explorer or shortly meex (try it!).
Inclusive Design: an Introduction to Accessibility - Radina Matic - DrupalCon...Radina Matic
Talk about accessibility and inclusive design I presented at DrupalCon Barcelona on September 23, 2015.
Link for original talk:
https://events.drupal.org/barcelona2015/sessions/inclusive-design-introduction-accessibility-whys-and-hows
Stream reasoning: an approach to tame the velocity and variety dimensions of ...Emanuele Della Valle
Big Data tech can tame volume and velocity. Taming Variety in presence of volume and velocity is the real challenge. I’ve been working on taming variety and velocity simultaneously (Stream Reasoning) for 10 years, now. In this talk, I give you some examples of application domains where this is necessary. I explain where the Stream Reasoning community went so far in theory, applications and products. In particular I focus on my applications and my startup Fluxedo, which is offering real-time social media analytics across social networks. I conclude the talk discussing what comes next: 1) the need to focus on languages and abstractions able to easily capture user needs; 2) the need to find the sweet-spot between scalability and expressive semantics; 3) the need to used semantics to model more than the data access; and 4) the need to get over imperfect data. If you are exited, I did my job for today!
Directions This assignment is for a Reading Course. The cross-disAlyciaGold776
Directions: This assignment is for a Reading Course. The cross-disciplinary unit that I will be implementing in my classroom is Social Studies (Grade 11 US History). Attached you will find a copy of the lesson plan and an attachment of Reading Standards. Current resources and tools that would enhance the learning experience for all students is Kahoot, Quizlet or Nearpod. Must use original work and must be APA formatted.
Please review the Special Accommodations and ELL section on the last page of the lesson plan, all bench marks and state standards for the lesson is within the lesson plan.
Benchmark - Cross-Disciplinary Unit Narrative
For this benchmark, write a 750-1,000 word narrative about a cross-disciplinary unit you would implement in your classroom. Choose a minimum of two standards, at least one for the content area of your field experience classroom and at least one supportive literacy standard to focus on for the unit narrative. You may use your Topic 3 "Instructional Strategies for Literacy Integration Matrix as a guide to inform this assignment."
Your narrative must include:
· Unit Description and Rationale: Complete description of unit theme and purpose, including learning objectives, based on the content area standards and literacy standards.
· Learning Opportunities: Description of two learning opportunities that create ways for students to learn, practice, and master academic language in content areas
· Collaboration: Description of how you would facilitate students’ collaborative use of current tools and resources to maximize content learning in varied contexts
· Support: Description of support that would be implemented for student literacy development across content areas
· Differentiation: Description of how the lessons within the unit would provide differentiated instruction
· Strategies: Description of strategies that you would use within your unit to advocate for equity in your classroom
· Cultural Diversity: Description of the effect of cultural diversity in the classroom on reading and writing development. Describe how the unit capitalizes on cultural diversity.
· Resources: Description of current resources and tools that would enhance the learning experience for all students.
Support your findings with 3-5 scholarly resources.
ELA Standards and Technology Matrix (Grades 11-12)
Click on the standard to view more information in CPALMS. Click on the links to visit the websites for the featured technology tools.
Grade Standards Technology
11-12 LAFS.1112.L.3.4
Determine or clarify the meaning of unknown and multiple-
meaning words and phrases based on grades 11–12 reading
and content, choosing flexibly from a range of strategies.
a. Use context (e.g., the overall meaning of a sentence,
paragraph, or text; a word’s position or function in a
sentence) as a clue to the meaning of a word or phrase.
b. Identify and correctly use patterns of word changes that
indic ...
Stream Reasoning: a summary of ten years of research and a vision for the nex...Emanuele Della Valle
Stream reasoning studies the application of inference techniques to data characterised by being highly dynamic. It can find application in several settings, from Smart Cities to Industry 4.0, from Internet of Things to Social Media analytics. This year stream reasoning turns ten, and this talk analyses its growth. In the first part, it traces the main results obtained so far, by presenting the most prominent studies. It starts by an overview of the most relevant studies developed in the context of semantic web, and then it extends the analysis to include contributions from adjacent areas, such as database and artificial intelligence. Looking at the past is useful to prepare for the future: the second part presents a set of open challenges and issues that stream reasoning will face in the next future.
This is the presentation that I did for PoliMI Data Scientists on Stream Reasoning, an approach to blend Artificial Intelligence and Stream Processing.
Data streams take many forms and their velocity is hard to tame. They can be myriads of tiny flows that you can collect to tame with Time-series Databases; continuous massive flows than you cannot stop to tame with Data Stream Management Systems; Continuous numerous flows that can turn into a torrent to tame with Event-based Systems; and myriads of continuous flows of any size and speed that form an immense delta to tame with Event-Driven Architectures. Enjoy this introductory talk!
While the state of the art in Machine Learning offers practitioners effective tecniques to deal with static data sets, there are only accademic results tailored to data streams. In this presentation for the 4th Stream Reasoning workshop, I report on an effort of Alessio Bernardo (a student of mines) to set up a benchmark enviroment to (i) repeat academic results, (ii) perform studies on real data for confirming the academic results, and (iii) study the research problem of "incremental rebalancing learning on evolving data streams".
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s developing mash-ups with Web 2.0 really much easier than using Semantic Web technologies? For instance, given a music style as an input, what it takes to retrieve data from online music archives (MusicBrainz, MusicBrainz D2R Server, MusicMoz) and event databases (EVDB)? What to merge them and to let the users explore the results? Are Semantic Web technologies up to this Web 2.0 challenge? This half-day tutorial shows how to realize a Semantic Web Application we named Music Event Explorer or shortly meex (try it!).
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https://events.drupal.org/barcelona2015/sessions/inclusive-design-introduction-accessibility-whys-and-hows
Stream reasoning: an approach to tame the velocity and variety dimensions of ...Emanuele Della Valle
Big Data tech can tame volume and velocity. Taming Variety in presence of volume and velocity is the real challenge. I’ve been working on taming variety and velocity simultaneously (Stream Reasoning) for 10 years, now. In this talk, I give you some examples of application domains where this is necessary. I explain where the Stream Reasoning community went so far in theory, applications and products. In particular I focus on my applications and my startup Fluxedo, which is offering real-time social media analytics across social networks. I conclude the talk discussing what comes next: 1) the need to focus on languages and abstractions able to easily capture user needs; 2) the need to find the sweet-spot between scalability and expressive semantics; 3) the need to used semantics to model more than the data access; and 4) the need to get over imperfect data. If you are exited, I did my job for today!
Directions This assignment is for a Reading Course. The cross-disAlyciaGold776
Directions: This assignment is for a Reading Course. The cross-disciplinary unit that I will be implementing in my classroom is Social Studies (Grade 11 US History). Attached you will find a copy of the lesson plan and an attachment of Reading Standards. Current resources and tools that would enhance the learning experience for all students is Kahoot, Quizlet or Nearpod. Must use original work and must be APA formatted.
Please review the Special Accommodations and ELL section on the last page of the lesson plan, all bench marks and state standards for the lesson is within the lesson plan.
Benchmark - Cross-Disciplinary Unit Narrative
For this benchmark, write a 750-1,000 word narrative about a cross-disciplinary unit you would implement in your classroom. Choose a minimum of two standards, at least one for the content area of your field experience classroom and at least one supportive literacy standard to focus on for the unit narrative. You may use your Topic 3 "Instructional Strategies for Literacy Integration Matrix as a guide to inform this assignment."
Your narrative must include:
· Unit Description and Rationale: Complete description of unit theme and purpose, including learning objectives, based on the content area standards and literacy standards.
· Learning Opportunities: Description of two learning opportunities that create ways for students to learn, practice, and master academic language in content areas
· Collaboration: Description of how you would facilitate students’ collaborative use of current tools and resources to maximize content learning in varied contexts
· Support: Description of support that would be implemented for student literacy development across content areas
· Differentiation: Description of how the lessons within the unit would provide differentiated instruction
· Strategies: Description of strategies that you would use within your unit to advocate for equity in your classroom
· Cultural Diversity: Description of the effect of cultural diversity in the classroom on reading and writing development. Describe how the unit capitalizes on cultural diversity.
· Resources: Description of current resources and tools that would enhance the learning experience for all students.
Support your findings with 3-5 scholarly resources.
ELA Standards and Technology Matrix (Grades 11-12)
Click on the standard to view more information in CPALMS. Click on the links to visit the websites for the featured technology tools.
Grade Standards Technology
11-12 LAFS.1112.L.3.4
Determine or clarify the meaning of unknown and multiple-
meaning words and phrases based on grades 11–12 reading
and content, choosing flexibly from a range of strategies.
a. Use context (e.g., the overall meaning of a sentence,
paragraph, or text; a word’s position or function in a
sentence) as a clue to the meaning of a word or phrase.
b. Identify and correctly use patterns of word changes that
indic ...
Stream Reasoning: a summary of ten years of research and a vision for the nex...Emanuele Della Valle
Stream reasoning studies the application of inference techniques to data characterised by being highly dynamic. It can find application in several settings, from Smart Cities to Industry 4.0, from Internet of Things to Social Media analytics. This year stream reasoning turns ten, and this talk analyses its growth. In the first part, it traces the main results obtained so far, by presenting the most prominent studies. It starts by an overview of the most relevant studies developed in the context of semantic web, and then it extends the analysis to include contributions from adjacent areas, such as database and artificial intelligence. Looking at the past is useful to prepare for the future: the second part presents a set of open challenges and issues that stream reasoning will face in the next future.
This is the presentation that I did for PoliMI Data Scientists on Stream Reasoning, an approach to blend Artificial Intelligence and Stream Processing.
Data streams take many forms and their velocity is hard to tame. They can be myriads of tiny flows that you can collect to tame with Time-series Databases; continuous massive flows than you cannot stop to tame with Data Stream Management Systems; Continuous numerous flows that can turn into a torrent to tame with Event-based Systems; and myriads of continuous flows of any size and speed that form an immense delta to tame with Event-Driven Architectures. Enjoy this introductory talk!
While the state of the art in Machine Learning offers practitioners effective tecniques to deal with static data sets, there are only accademic results tailored to data streams. In this presentation for the 4th Stream Reasoning workshop, I report on an effort of Alessio Bernardo (a student of mines) to set up a benchmark enviroment to (i) repeat academic results, (ii) perform studies on real data for confirming the academic results, and (iii) study the research problem of "incremental rebalancing learning on evolving data streams".
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IST16-01 - Introduction to Interoperability and Semantic Technologies
1. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Interoperability and Semantic Technologies 2015-16
Introduction
Emanuele Della Valle
DEIB - Politecnico di Milano
http://emanueledellavalle.org - @manudellavalle
2. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Share, Remix, Reuse — Legally
This work is licensed under the Creative Commons Attribution
3.0 Unported License.
Your are free:
to Share — to copy, distribute and transmit the work
to Remix — to adapt the work
Under the following conditions
Attribution — You must attribute the work by inserting
“by E. Della Valle – http://emanueledellavalle.org -
@manudellavalle”
at the end of each reused slide
To view a copy of this license, visit
http://creativecommons.org/licenses/by/3.0/
2
3. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Definitions of Interoperability
• Interoperability
• the ability of information and communication technology (ICT) systems
to exchange data and to enable sharing of information and knowledge
• Functional interoperability
• Information has to be transmitted reliably between heterogeneous
applications
• Semantic interoperability
• Transmission must occur without loss of meaning, and thus without
loss of computability
• E.g., Semantic Interoperability in healthcare information systems
• It is the ability to share information without loss of computable
meaning, across multiple applications concerned with
clinical (primary use) and related administrative, financial, and
research domains (secondary uses).
3
4. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Once upon a time …
4
…, in an happy organization, users
were happy of the application the IT
department prepared for them, but …
application
[…]
… the organization was not alone.
Another organization developed a
complementary application …
complementary application
[…]
… so, one day, the two organizations
decided to integrate the two
applications.
Organizational
boundaries
application
[…]
complementary application
[…]
Organizational
boundaries
application
[…]
?
Having much to gain the happy
organization decided to invest in a
bi-lateral solution
complementary application
[…]
Organizational
boundaries
application
[…]
adapter
!
5. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
… this went on for a while, but …
5
[…]
!
… the more bi-lateral integrations, the sadder the organizations
became.
[…]
[…]
[…]
[…]
[…]
[…]
!
!
!!
!!
!!
!?!
!!!
!
!!
!?!?!?
?!?
?!? ! OK
!! Good
!!! Very Good
!?! Very Good …
?!? Have I done the
right thing?
??? Does it make
sence?
?#@ Why am I
doying it!!!
Legend
6. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
… So, they standardized and …
6
[…]
[…]
[…]
[…]
[…]
[…]
[…]
standard
… and they lived happily ever after!
7. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Well, not really :-( Actually …
7
[…]
[…]
[…]
[…]
[…]
[…]
[…]
??? KEEP
CALM
AND
WAIT FOR
1 YEARS10100
8. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Why? The Standardization dilemma!
Comprehensive
Handles all use cases
Good
High quality
Timely
Completed quickly
Pick two!
Pick two!
8
9. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
There are a variety of them
9
Standards are like plumbs
11. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
And they keep changing :-(
11
[Credits: Rafael Richards]
12. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Why?
12
[source http://xkcd.com/927/ ]
13. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
… sometime the variety is required
13
standards are like plumbs
14. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Why variety is required
14
[Source: http://www.slideshare.net/HINZ/hl7-whats-hot-and-whats-not ]
15. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
One standard does not fit all
Different use cases need need different data, granularity and representations
15
[source: dbooth.org/2014/yosemite/yosemite-project-slides.pdf]
16. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
… thus translation is needed
16
standards are like plumbs
17. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
And counting on translation between standards is even convenient while
working on increasing the comprehensiveness of a standard over time
17
Translation is unavoidable!
Comprehensive
0%
100%
Time
Translation
Standard
18. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
But be aware of the cost of ad hoc translation!
18
standards are like plumbs
19. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
…in healthcare costs $30000 Million per year in USA
[source: http://www.calgaryscientific.com/blog/bid/284224/Interoperability-Could-
Reduce-U-S-Healthcare-Costs-by-Thirty-Billion]
19
The luck of interoperability …
20. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
So What?!?
“It is not necessarily
the strongest of the
species that survives
nor the most intelligent,
but the one that is
most responsive to change.”
--- Charles Darwin
“The Origin of Species”
20
21. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Embrace change!
21
22. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Semantic Technologies embrace change
22
subject objectobject
property
Proposing a simple data model: RDF
E.g.,
Flexible enough to represent:
Tables
Amoxi-
cillin
bacterial
disease
bacterial
disease
treats
Trees Graphs
23. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Providing a powerful query language: SPARQL
E.g., what does Amoxicillin treat?
?x={Bacterial disease, Urinary tract infection, Sinus infection, …}
Flexible enough to query RDF data even without knowing the schema
E.g., can you describe Amoxicillin ?
?p={treats} ?x={Bacterial disease, Urinary tract infection, Sinus infection, …}
?p={hasSideEffects} ?x={Diarrhoea}
?p={belongsTo} ?x={β-Lactam antibiotic, Penicillin-class Antibacterial}
…
Semantic Technologies embrace change
23
Amoxi-
cillin
?x?x
treats
Amoxi-
cillin
?x?x
?p
24. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Providing a formal language for conceptual modelling: OWL
E.g., Heart
Heart is a muscular
organ that is part of
the circulatory system
∀x.[ Heart(x)→
MuscolarOrgan(x)∧
∃y.[isPartOf(x,y )∧
CirculatorySystem(y)]]
OWL is a modular standard that offers different trade-offs
OWL-QL OWL-RL OWL-EL
Semantic Technologies embrace change
24
TermsData
Terms
Data Terms
Data
25. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Semantic Technologies embrace change
25
Standard in OWL
[…]
Ontology Based Data Access as a prototypical solution to interoperability
problems
<XML><XML>
Translator Translator Translator
26. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Semantic Technologies embrace change
26
Standard in OWL
[…]
SPARQL Queries
Ontology Based Data Access as a prototypical solution to interoperability
problems
RDBMS <XML><XML>
Translator Translator Translator
27. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Semantic Technologies embrace change
27
Standard in OWL
Results
{ , , }
Ontology Based Data Access as a prototypical solution to interoperability
problems
[…]
RDBMS <XML><XML>
Translator Translator Translator
28. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Those ideas at work at scale
28
Google for "amoxicillin"
Model: Google knowledge graph
A variety of sources:
•http://www.fda.gov/Drugs/
•http://www.nlm.nih.gov/research/umls/
•http://dailymed.nlm.nih.gov/dailymed/
•http://micromedex.com/
29. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Interoperability and Semantic Technologies 2015-16
Introduction
Emanuele Della Valle
DEIB - Politecnico di Milano
http://emanueledellavalle.org - @manudellavalle