1.  Copyright 2007 Digital Enterprise Research Institute. All rights reserved. Digital Enterprise Research Institute www.deri.ie Report on internship @ DERI, Galway Jan Zemanek (DIKE, UEP; SmILE, DERI) jan.zemanek@deri.org

2. Digital Enterprise Research Institute www.deri.ie DERI, Galway in a nutshell http://www.deri.ie & http://blog.deri.ie/ http://www.deri.iehttp://blog.deri.ie/ DERI – Digital Enterprise Research Intitute at National University of Ireland „Making Semantic Web real.“ Research areas  Semantic Web (cluster)  Semantic Web Services (cluster)  eLearning (cluster) Director: Prof. Dr. Stefan Decker  Vice director: Prof. Dr. Manfred Hauswirth around 100 members  2 stable Czech members: Dr. Tomas Vitvar, Vit Novacek – Tomas has launched his own weblog lately, you can find it at http://www.vitvar.com/blog/ http://www.vitvar.com/blog/

3. Digital Enterprise Research Institute www.deri.ie SmILE subcluster http://smile.deri.ie/ & http://smile.deri.ie/blog/ http://smile.deri.ie/http://smile.deri.ie/blog/ SmILE stands for Semantic Information Systems and Language Engineering Group Group leader: Dr. Siegfried Handschuh „focused around the application of Semantic Web and Language Engineering techniques to support knowledge acquisition and re-use in different settings“ leading project: NEPOMUK (Networked Environment for Personal Ontology-based Management of Unified Knowledge)  NEPOMUK aims to build a Social Semantic Desktop which will present information in a well defined manner, which will be processible by computer, and which will connect and exchange data with other desktops

4. Digital Enterprise Research Institute www.deri.ie DINO ontology lifecycle scenario and framework DINO stands for „Dynamics, INtegration and Ontology“ or „Data and INtensive Ontology“ is a scenario and framework for practical handling of dynamic and large data-sets in an ontology lifecycle, focusing particularly on dynamic integration of learned knowledge into collaboratively developed ontologies

5. Digital Enterprise Research Institute www.deri.ie Ontology development ontologies are very likely subject to change given the dynamic nature of domain knowledge ontology construction is usually the result of collaboration it is not always feasible to process all the relevant data and extract the knowledge from them manually  this implies a need for (partial) automation of ontology extraction and management processes in dynamic and data-intensive environments – this can only be achieved by ontology learning

6. Digital Enterprise Research Institute www.deri.ie DINO ontology integration based on  Dynamic Integration of Medical Ontologies in Large Scale, Novacek, V.; Laera, L.; Handschuh, S.; article much more details in  D2.3.8v1 Report and Prototype of Dynamics in the Ontology Lifecycle

7. Digital Enterprise Research Institute www.deri.ie DINO ontology integration scheme of the integration process phases of the integration  providing a master ontology  providing an extending ontology  alignment/negotiation  reasoning/management  ontology diff  triple sorter  mapping triples to natural language suggestions

8. Digital Enterprise Research Institute www.deri.ie DINO integration scheme

9. Digital Enterprise Research Institute www.deri.ie DINO phases of integration providing a master ontology providing an extending ontology  ontology learning – machine learning and NLP methods are used for a processing of relevant resources and extracting knowledge from them – is realised using Text2Onto  any “external” ontology can be provided – we can integrate e.g. different ontologies from the same domain or specialised/general ontologies

10. Digital Enterprise Research Institute www.deri.ie DINO phases of integration alignment/negotiation  provided ontologies need to be reconciled since they cover the same domain, but might be structured differently  contsists of mappings between the concepts, properties, and relationships in provided ontologies  uses ontology alignment API developed by INRIA Rhone- Alpes

11. Digital Enterprise Research Institute www.deri.ie DINO phases of integration reasoning/management  used for merging of the provided ontologies according to statements in an „alignment ontology“ – the „alignment ontology“ consists of axioms merging classes, individuals and properties  handles inconsistencies like sub-class hierarchy cycles, disjointness-subsumption, disjointness-instantiation  resulting ontology is passed to an ontology diff  uses Jena 2 Ontology API

12. Digital Enterprise Research Institute www.deri.ie DINO phases of integration ontology diff  possible ontology extensions are equal to the additions that the merged ontology brings into the master ontology  the addition triples form a base to eventual ontology extension suggestions

13. Digital Enterprise Research Institute www.deri.ie DINO phases of integration triple sorter  applies an ordering taking a relevance measure of possible suggestions into account (based on preferred and unwanted terms)

14. Digital Enterprise Research Institute www.deri.ie DINO phases of integration mapping triples to natural language suggestions  produced suggestions are in a form of very simple natural language statements which are obtained directly from the sorted triples

15. Digital Enterprise Research Institute www.deri.ie DINO integration manager original plans  DINO should have been a part of MarcOnt portal initially – MarcOnt portal (http://www.marcont.org/)http://www.marcont.org/ –an environment for collaborative ontology development being developed at DERI, Galway  DINO as a bunch of cooperating Protege(-OWL) plugins – Semantic Version Manager plugin –Protege plugin built upon SemVersion – Collaborative Protege – problems with 3rd party libraries used in Text2Onto and GATE reality  DINO as a stand-alone Java application

16. Digital Enterprise Research Institute www.deri.ie DINO integration manager

17. Digital Enterprise Research Institute www.deri.ie DINO integration manager Demo

18. Digital Enterprise Research Institute www.deri.ie Semantic web for Java developers interesting Java tools handling Semantic web technologies I encountered or had to deal with directly  SemVersion  RDF2Go  RDFReactor

19. Digital Enterprise Research Institute www.deri.ie SemVersion http://wiki.ontoworld.org/wiki/SemVersion developed mainly by Max Voelkel a versioning system for RDF and RDF ontologies backed by Sesame 2 (since v1.0.0 alpha) enables to  version RDF models  commit and merge RDF models Semantic Version Manager  an implementation of SemVersion as a Protege plugin

20. Digital Enterprise Research Institute www.deri.ie Semantic Version Manager

21. Digital Enterprise Research Institute www.deri.ie Semantic Version Manager

22. Digital Enterprise Research Institute www.deri.ie RDF2Go http://wiki.ontoworld.org/wiki/RDF2Go an abstraction over triple (and quad) stores allows a programmer to code against RDF2Go interface and thus to stay independent of the underlying RDF store supported RDF stores  Jena 2.4  Sesame 2.0 beta 6 (the latest release) used in  SemVersion  Aperture

23. Digital Enterprise Research Institute www.deri.ie RDF2Go RDF2Go example code:

24. Digital Enterprise Research Institute www.deri.ie RDFReactor http://wiki.ontoworld.org/wiki/RDFReactor a view of RDF data through object-oriented Java proxies making using RDF natural for Java developers „Think in objects, not statements.“ all state information is in a RDF model in a RDF store at all times  RDFReactor Java proxies are stateless Java proxies are generated automatically from RDF Schema

25. Digital Enterprise Research Institute www.deri.ie RDFReactor example code:

26. Digital Enterprise Research Institute www.deri.ie The very last slide Any (other) questions? Thank you for your attention!