1. Watson Supporting Next Generation Semantic Web Applications Mathieu d’Aquin, Claudio Baldassarre, Laurian Gridinoc, Marta Sabou, Sofia Angeletou, Enrico Motta The Knowledge Media Institute, The Open University m.daquin@open.ac.uk

2. The Semantic Web A large scale, heterogenous collection of formal, machine processable, ontology-based statements (semantic metadata) about web resources and other entities in the world, expressed in a XML-based syntax Lee, J., Goodwin, R. (2004) The Semantic Webscape: a View of the Semantic Web. IBM Research Report.

3. Ontologies Metadata Elementaries - The Watson Blog http://watson.kmi.open.ac.uk:8080/blog/ "Oh dear! Where the Semantic Web is going to go now?" -- imaginary user 23 en Watson team Thu, 01 Mar 2007 13:49:52 GMT Pebble (http://pebble.sourceforge.net) http://backend.userland.com/rss … Elementaries - The Watson Blog http://watson.kmi.open.ac.uk:8080/blog/ "Oh dear! Where the Semantic Web is going to go now?" -- imaginary user 23 en Watson team Thu, 01 Mar 2007 13:49:52 GMT Pebble (http://pebble.sourceforge.net) http://backend.userland.com/rss … Zen wisteria Mathieu d'Aquin … Zen wisteria Mathieu d'Aquin … <rdfs:comment rdf:datatype="http://www.w3.org/2001/XMLSchema#string" >The Knoledge Media Institute of the Open University, Milton Keynes UK … <rdfs:comment rdf:datatype="http://www.w3.org/2001/XMLSchema#string" >The Knoledge Media Institute of the Open University, Milton Keynes UK … DOAP FOAF DC RSS TAP WORDNET NCI Galen Music … … … … … … UoD

4. Next Generation Semantic Web Applications

5. NG SW Application Able to exploit the SW at large –Dynamically retrieving the relevant semantic resources –Combining several, heterogeneous Ontologies Need tools and infrastructures to efficiently access the knowledge available on the SW: a Gateway… Semantic WebSmart Features

6. Watson: a Gateway to the Semantic Web

8. Tasks  Collecting semantic content – Crawling the Semantic Web, taking into account semantic relations linking knowledge and data  Analysing and indexing semantic content – Extracting metadata from the collected documents, focusing on capturing the richness and the qualities of the knowledge  Providing efficient access to the collected knowledge – Consider a variety of interfaces, for humans and software, from simple keyword search to formal queries in SPARQL

9. Architecture Keyword Search SPARQL Query Crawling Parsing (Jena) Validation/ Analysis Indexing RepositoryURLsMetadataIndexes populates used extracted retrieved Ontology Exploration queries request WWWWWW discovered CollectingAnalyzing Querying

10. Collecting Semantic Content Specialized crawlers for ontology repositories and semantic relations. Watson has collected tens of thousands of semantic documents. This represents Millions of RDF entities, most of them being instances. New sources of knowledge are frequently integrated (FOAF, DBPedia, etc.), so that this number is growing rapidly.

11. Analyzing Semantic Content Have to deal with Heterogeneity! Great variety in… Size Coverage Richness Etc.

12. Interfaces Humans: AJAX based Web interface for Keyword Search, Ontology Exploration and SPARQL Queries Programs: Web services and API for accessing the content and features of Watson

13. Interfaces: WUI Web User Interface: http://watson.kmi.open.ac.uk/WatsonWUI

14. Interface: Web services and API Watson Server Semantic repository Metadata repository Indexes Ontology Search Service Entity Search Service Semantic Web Application Watson API SOAP Allows applications developers to access Watson features, and so the collected knowledge, in a lightweight way. But what applications (can) do with it?

15. PowerAqua 1. NL Question 2. Linguistic interpretation 3. Ontology based interpretation mathieu_daquin martin_dzbor enrico_motta victoria_uren vanessa_lopez marta_sabou 4. Answer

16. PowerMagpie Key Term Web Page Corresponding ontology entities from Watson

17. Folksonomy enrichment Tags {camera, digital slr, photograph} {damage, flooding, hurricane, katrina, Louisiana} Clusters Digital SLR cameraphotograph takenWith Ontologies NLP/Clustering Find and combine Online ontologies +modularizaton +matching +modularizaton +matching Discovering relations between tags

18. Folksonomy enrichment Discovering relations between tags Example of result.

19. Protégé Plugin for Knowledge Reuse Classes of the ontology Search the selected class Existing descriptions of the class Can be integrated into the ontology

20. Ontology Matching ka2.rdf Researcher AcademicStaff Semantic Web Researcher AcademicStaff ISWC SWRC Ham SeaFood Semantic Web Ham SeaFood Meat SeaFood Agrovoc NALT pizza-to-go wine.owl NALT

21. Conclusion

22. Take Home Message Watson is an ongoing project to build a Gateway to the Semantic Web Usable Now! But lost of directions for improvements So… Use it! Show it! Torture it! Build new applications with it! And… Send feedbacks! Suggest new features! Suggest new applications!

23. Thank you! Website: http://watson.kmi.open.ac.uk Blog: http://watson.kmi.open.ac.uk/blog E-mail: m.daquin@open.ac.uk WUI: http://watson.kmi.open.ac.uk/WatsonWUI API: http://watson.kmi.open.ac.uk/WS_and_API.html Twitter: watson_swg