1. Using the Semantic Web Mathieu d’Aquin Knowledge Media Institute, the Open University m.daquin@open.ac.uk http://kmi.open.ac.uk/people/mathieu

2. Introduction to the Semantic Web Tutorial What is there to use on the Semantic Web? Technologies Systems Services Infrastructures Knowledge, information, data… A lot of that

3. Introduction to the Semantic Web Tutorial Now that it is there, how to make use of this Semantic Web? Novel, smart, useful, Semantic Web based applications –that exploit the information available instead of creating their own –that combine sources of information dynamically, to create novelty A developer perspective

4. Introduction to the Semantic Web Tutorial A Programmable Semantic Web http://www.programmableweb.com/ Mashups, APIs and the Web as Platform

5. Introduction to the Semantic Web Tutorial Revyu.com: review anything Revyu.com: review anything A Programmable Semantic Web http://www.programmablesemanticweb.com/ Semantic Mashups, Semantic APIs and the Semantic Web as Platform Revyu.com: review anything Southampton RDF-based Pub Finder Wahoo Revyu.com: review anything Watson Semantic Proxy TextWise Semantic Hacker Sindice SIOC API Hakia

6. Introduction to the Semantic Web Tutorial Agenda (in mixed order) What exists to support application developers in making use of the Semantic Web –Web APIs delivering semantic information What can be done with the Semantic Web –Examples of applications of these APIs What more can we do with the Semantic Web –… something to discuss…

7. Introduction to the Semantic Web Tutorial Covered APIs that produce semantic information and their applications –TextWise Semantic Hacker –Open Calais/Semantic Proxy –Triplify (server side) APIs that deliver existing semantic information and their applications –PingTheSemanticWeb.org –Semantic Web Client Library –Sindice –Watson

8. Introduction to the Semantic Web Tutorial Not Covered Semantic Search APIs –E.g., Hakia Semantic information storing and querying –E.g., the Talis Platform Semantic information presentation and browsing –E.g., SearchMonkey

9. Introduction to the Semantic Web Tutorial To Make Things Simple… All the API we will be looking at are based on the REST principles, meaning that: –They are accessed through HTTP –Use simple URLs –And return XML, JSON or RDF

10. Introduction to the Semantic Web Tutorial NER, NLP, LSA, etc APIs that Produce Semantic Information Web API App Text (semanticHacker) URL (semanticHacker, Semantic Proxy) Database (Triplify) Categories (semanticHacker) Persons, events, Technologies, etc. (Semantic Proxy) Any information (Triplify)

11. Introduction to the Semantic Web Tutorial TextWise Semantic Hacker http://www.semantichacker.com/ Provides the Semantic Signature API. Providing a text or the URL of a web document, returns an ordered list of categories (called dimensions) to classify the text.

12. Introduction to the Semantic Web Tutorial TextWise Semantic Hacker Example http://api.semantichacker.com/sh/api?token=xxxxxxx\&urihttp://api.semantichacker.com/sh/api?token=xxxxxxx\&uri= http://kmi.open.ac.uk/events/iswc08-semantic-web-intro/\ &showLabels=true

13. Introduction to the Semantic Web Tutorial TextWise Semantic Hacker Application Example http://www.sandoval.ca:8080/SemanticWebJournal/SemanticWebJournal.html

14. Introduction to the Semantic Web Tutorial Open Calais/Semantic Proxy http://semanticproxy.com/ Semantic Proxy translates the content of a Web document to a representation in RDF, HTML or Microformats. It can recognize and type in the text people, organizations, cities, technologies, publications, companies, countries, medical conditions, …

15. Introduction to the Semantic Web Tutorial Open Calais/Semantic Proxy Example http://service.semanticproxy.com/processurl/xxxopencalaisk eyxxx/rdf/http://kmi.open.ac.uk/people/mathieu/ Person: Fouad Zablith, Milton Keynes, Carlo Alloca, Marta Sabou, Enrico Motta Organization: UHP University of Nancy, Open University, Knowledge Media Institute, PC City: Nancy Technology: fuzzy logic, artificial intelligence, API, Semantic Web technologies, knowledge management, Knowledge Management, XML, RDF Country: France, United Kingdom Company: Google Facility: Walton Hall Published Medium: Journal of Logic and Computation Industry Term: online ontologies, Web Applications, cancer treatment, Web services, online knowledge, semantic web applications, Web gateway, Web technologies Medical Condition: cancer + Annotations within the text!

16. Introduction to the Semantic Web Tutorial Open Calais/Semantic Proxy Application Examples http://opencalais.com/gallery

17. Introduction to the Semantic Web Tutorial APIs that deliver semantic information Semantic Web Crawling and Indexing Web API App Keywords (Sindice, Watson) Structured Queries (Sindice, Watson, SCL), Metadata Queries (Watson) SPARQL (Watson) Semantic Documents (Sindice, Watson, PTSW) Ontology Metadata (Watson) Semantic Content (Watson, SCL)

18. Introduction to the Semantic Web Tutorial Sindice Originally, an entity lookup service. Find a document that mention a URI or a keyword. Extended with more structured query.

19. Introduction to the Semantic Web Tutorial Sindice Example 1 curl -H "Accept: application/rdf+xml" 'http://api.sindice.com/v2/search?q=Mathieu+dAquin&qt =term&page=1' … Mathieu d’Aquin, Mathieu d'Aquin, Mathieu D'Aquin 2008-10-17T00:00:00+01:00 RDF 78 triples in 15925 bytes 1 Nodalities » Blog Archive » Mathieu d’Aquin Talks with Talis about Networked Ontologies and the Semantic Web 2008-07-22T00:00:00+01:00 LICENSE MICROFORMAT 2 triples in 412 bytes 2 http://semanticweb.org/index.php?title=Special:ExportRDF/Mathieu_dAquin&xmlmime=rdf 2008-07-22T00:00:00+01:00 RDF 13 triples in 1998 bytes 3

20. Introduction to the Semantic Web Tutorial Sindice Structured Query Sindice can also be queried with structured query, e.g. Mathieu d’Aquin Mathieu d’Aquin class:Person Return the documents containing entities that match the query (but not the entity itself)

21. Introduction to the Semantic Web Tutorial Sindice Application Example MOAT: Meaning of a Tag. Can attach URIs found with Sindice to tags

22. Introduction to the Semantic Web Tutorial Watson A gateway to the Semantic Web: Supporting users and applications in finding, exploring and exploiting semantic content from the Web.

23. Introduction to the Semantic Web Tutorial Watson APIs SOAP and REST APIs that provide the infrastructure to: –Find SW documents and retrieve metadata about them –Find entities (classes, properties, individuals) and explore their semantic description –Apply SPARQL queries to Semantic Web documents

24. Introduction to the Semantic Web Tutorial Watson Applications Ontology Reuse: The Watson Plugin Question Answering: PowerAqua Semantic Browsing: PowerMagpie Semantic Relation Discovery: Scarlet URI Auto- Completion: MOAW And also: Word sense disambiguation Folksonomy Enrichment Synonym Discovery…

25. Introduction to the Semantic Web Tutorial Watson A Demonstrator: Wahoo Find on the Semantic Web terms to specialize or generalize a query to a search engine (Yahoo).

26. Introduction to the Semantic Web Tutorial Watson A Demonstrator: Wahoo Find ontologies containing the keyword “researcher” http://watson.kmi.open.ac.uk/API/semanticcontent/keywords?q=researc her … exactly “researcher” in the label or id of a class http://watson.kmi.open.ac.uk/API/semanticcontent/keywords?q=researc her&scope=LN+Label&ent=Class&match=Exact Find entities corresponding to “researcher” in ontology http://watson.kmi.open.ac.uk/API/entity/keyword?q=researcher&uri=http: //calo.sri.com/core-plus-office&scope=LN+Label &ent=Class&match=Exact Find subclasses and superclasses of an entity http://watson.kmi.open.ac.uk/API/entity/subclasses?ent=http://calo.sri.co m/core-plus-office#Researcher&uri=http://calo. sri.com/core-plus- office The rest is interface stuff and call to Yahoo!

27. Introduction to the Semantic Web Tutorial Discussion What more could we do? Put things together

28. Introduction to the Semantic Web Tutorial Organization Research Center Health Foundation Education University Education Higher Education PhD Organizations: CQ Press, ASMI, AGS, NCSU Awards: Silver Gavel, Sigma Dellta Chi, FHA Technology: Statistics

29. Introduction to the Semantic Web Tutorial Discussion What more could we do? Your ideas!?