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Sesam4 tech.primer.csaba.veres.rdf.owl.video

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This slideshare belongs to a technology primer on OWL/RDF, produced by Csaba Veres (Bergen University, Norway) for the SESAM4 project.

This slideshare belongs to a technology primer on OWL/RDF, produced by Csaba Veres (Bergen University, Norway) for the SESAM4 project.

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  • 1. A guide to semantics in the Linked Open Data cloud: RDF and OWL NFR Verdikt Project no 2342453 Semantic Technology Technology Primer SESAM4 Consortium 2009 – 2011 SESAM4 2011 Published under Creative Commons license
  • 2. What are RDF and OWL? RDF: Resource Description Framework  Resource - Any piece of data you can put on the Web  Description - Relationships between the Data  A Data Model OWL: Web Ontology Language  More Complex descriptions of Data  Reasoning and Search Technology Primer SESAM4 Consortium 2009 – 2011 SESAM4 2011 Published under Creative Commons license
  • 3. Why a Data Model?• Data models are not new Name Address Telephone John Smith 2 Nowhere place 111 222 333 Person First Name Henry Frod 15 Upmarket drive 123 456 789 Second Name Residence Person Contact Name Address Telephone First Name Second Name Residence Contact John Smith 2 Nowhere place 111 222 333 Henry Frod 15 Upmarket drive 123 456 789 Technology Primer SESAM4 Consortium 2009 – 2011 SESAM4 2011 Published under Creative Commons license
  • 4. Why a Data Model for the Web? Name Address Telephone + John Smith 2 Nowhere place111 222 333 Henry Frod 15 Upmarket drive 456 789 123 First Name Second Name Residence Contact Jane Smith 2 Nowhere place 111 222 333 Henrietta Frod 15 Upmarket drivehnri@frod.com = ??? Name Residence Telephone Email Jane Smith 2 Nowhere place 111 222 333 Henrietta Frod 15 Upmarket drive hnri@frod.com John Smith 2 Nowhere place 111 222 333 Henri Frod 15 Upmarket drive 123 456 789 Technology Primer SESAM4 Consortium 2009 – 2011 SESAM4 2011 Published under Creative Commons license
  • 5. Identify Resources in Web Space How many houses does John Smith have?  John Smith at 2 Nowhere place  John Smith at 47 Hope street  Does he have two houses, or two different people? URI  General form of URL  Every entity gets one  http://www.example.org/person#js1  http://www.example.org/person#js2 Technology Primer SESAM4 Consortium 2009 – 2011 SESAM4 2011 Published under Creative Commons license
  • 6. What do we know about John Smith? We know  http://www.example.org/person#js1  has name “John Smith”  has address “2 Nowhere place”  has phone number “111 222 333”  http://www.example.org/person#js2  has name “John Smith”  has address “47 Hope street”  has phone number “333 222 111” Technology Primer SESAM4 Consortium 2009 – 2011 SESAM4 2011 Published under Creative Commons license
  • 7. Some RDF@ prefix person <http://www.example.org/person#> .@ prefix property <http://www.example.org/property#> .person:js1 property:hasName “John Smith” ; property:hasAddress “2 Nowhere place” ; property:hasPhone “111 222 333” .person:js2 property:hasName “John Smith” ; property:hasAddress “47 Hope street” ; property:hasPhone “333 222 111” . Technology Primer SESAM4 Consortium 2009 – 2011 SESAM4 2011 Published under Creative Commons license
  • 8. General RDF Basic data model is a “triple” predicate Subject Object property:hasName person:JS1 “John Smith” property:hasFriend property:hasName person:JS2 “John Smith” Technology Primer SESAM4 Consortium 2009 – 2011 SESAM4 2011 Published under Creative Commons license
  • 9. Why is RDF good? Globally unique identifier Extensible, distributed data model: just add triples Name College Graduation Employer Salary John Smith Stanford 1987 Apple Inc. US$160,000 ... ... ... ... ... Guaranteed results! End of data silos! Integrate company data Expose selected company data Technology Primer SESAM4 Consortium 2009 – 2011 SESAM4 2011 Published under Creative Commons license
  • 10. Why RDF + OWL is even better Suppose you have a huge graph with tons of facts about tons of people  And you want to find potential customers  “Well educated people working in a tech. company who is likely to have disposable income, and willing to part with it” OWL allows you to build complex domain models and define concepts like “potential customer”  well educated = B.Sc. or Ph.D.  tech company = company hasProduct (computer or mobile phone or software)  disposable income = hasSalary > 100,000 & (owns iPhone) or (hasAccount FaceBook) Technology Primer SESAM4 Consortium 2009 – 2011 SESAM4 2011 Published under Creative Commons license
  • 11. Summary RDF is a simple, extensible, distributed data model  Data integration  Expose data  Tools for “lifting” legacy data OWL  Domain models: Ontologies Simplifies finding the data you need RDF + OWL  All the data, and just the data you want Technology Primer SESAM4 Consortium 2009 – 2011 SESAM4 2011 Published under Creative Commons license
  • 12. www.sesam4.net Technology Primer SESAM4 Consortium 2009 – 2011 SESAM4 2011 Published under Creative Commons license