'Binary predicates' presentation slideshows

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????? ???????????? , ??? ???????????? ????????? ??????? ?????????? ????????????? ?????????? - 1 ? ??????? ?????????????? ????? lpis .csd.auth.gr/mtpx/sw/index.htm. ????????: ?. ??????????? ?????. ???. ??. ???????????? ???. ????????: 5-6. Chapter 3 Describing Web Resources in RDF .

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Chapter 3 Describing Web Resources in RDF

Chapter 3 Describing Web Resources in RDF. Grigoris Antoniou Frank van Harmelen. Lecture Outline. Basic Ideas of RDF XML-based Syntax of RDF Basic Concepts of RDF Schema ? he Language of RDF Schema The Namespaces of RDF and RDF Schema Axiomatic Semantics for RDF and RDFS

1.38k views • 120 slides

Chapter 3 Describing Web Resources in RDF

Chapter 3 Describing Web Resources in RDF. Grigoris Antoniou Frank van Harmelen. Lecture Outline. Basic Ideas of RDF XML-based Syntax of RDF Basic Concepts of RDF Schema ? he Language of RDF Schema The Namespaces of RDF and RDF Schema Axiomatic Semantics for RDF and RDFS

1.44k views • 120 slides

Chapter 3 Describing Web Resources in RDF

Chapter 3 Describing Web Resources in RDF. Grigoris Antoniou Frank van Harmelen. Lecture Outline. Basic Ideas of RDF XML-based Syntax of RDF Basic Concepts of RDF Schema ? he Language of RDF Schema The Namespaces of RDF and RDF Schema Axiomatic Semantics for RDF and RDFS

1.34k views • 119 slides

Tutorial on OWL ISWC, Sanibel Island, Florida, USA 20 th October, 2003

Tutorial on OWL ISWC, Sanibel Island, Florida, USA 20 th October, 2003. Sean Bechhofer, 1 Ian Horrocks 1 and Peter F. Patel-Schneider 2. 1 University of Manchester Manchester, UK {horrocks|seanb}@cs.man.ac.uk. 2 Bell Labs Research Murray Hill, NJ, USA {horrocks|seanb}@cs.man.ac.uk.

566 views • 42 slides

Ontology Languages for the Semantic Web

427 views • 34 slides

Cyc

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Searching for Common Sense: Populating Cyc from the Web

204 views • 12 slides

Finding Associations in Collections of Text

Finding Associations in Collections of Text. 99419-511 ???. Introduction. The need to develop tools to help users access and understand large quantities of multimodal information Nontrivial extraction of implicit, previously unknown, and potentially useful information from data

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