This video lecture starts with an overview of the requirements for defining and using ontologies on the Web. It then outlines the main concepts and issues associated with the Web ontology languages, RDF, RDF Schema and OWL. By the end of this presentation viewers will have gained a basic understanding of the principles underlying OWL. Also quickly covers the basics of the RDF Data Model.
URL: http://videolectures.net/iswc07_bechhofer_iowl/
Keywords: RDF Schema, Web Ontology Language (OWL), Ontology, Description Logics, Inferencing
Author: Bechhofer, Sean
Publisher: videolectures.net
Date created: 2007-11-22 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P45M
Educational use: instruction
Educational audience: professional
Interactivity type: expositive
- Knows that the word "ontology" is ambiguous, referring to any RDF vocabulary, but more typically a set of OWL classes and properties designed to support inferencing in a specific domain.
- RDF vocabularies and application profiles
- Designing RDF-based vocabularies
- Knows that the word "ontology" is ambiguous, referring to any RDF vocabulary, but more typically a set of OWL classes and properties designed to support inferencing in a specific domain.
- Knows that the word "ontology" is ambiguous, referring to any RDF vocabulary, but more typically a set of OWL classes and properties designed to support inferencing in a specific domain.
- Designing RDF-based vocabularies
- RDF vocabularies and application profiles
- Knows Web Ontology Language, or OWL (2004), as a RDF vocabulary of properties and classes that extend support for expressive data modeling and automated inferencing (reasoning).
- RDF vocabularies and application profiles
- Designing RDF-based vocabularies
- Knows Web Ontology Language, or OWL (2004), as a RDF vocabulary of properties and classes that extend support for expressive data modeling and automated inferencing (reasoning).
- Knows Web Ontology Language, or OWL (2004), as a RDF vocabulary of properties and classes that extend support for expressive data modeling and automated inferencing (reasoning).
- Designing RDF-based vocabularies
- RDF vocabularies and application profiles
- Uses RDF Schema to express semantic relationships within a vocabulary.
- RDF vocabularies and application profiles
- Designing RDF-based vocabularies
- Uses RDF Schema to express semantic relationships within a vocabulary.
- Correctly uses sub-class relationships in support of inference.
- Correctly uses sub-property relationships in support of inference.
- Uses RDF Schema to express semantic relationships within a vocabulary.
- Designing RDF-based vocabularies
- RDF vocabularies and application profiles
- Knows that Web Ontology Language (OWL) is available in multiple "flavors" that are variously optimized for expressivity, performant reasoning, or for applications involving databases or business rules
- Interacting with RDF data
- Reasoning over RDF data
- Knows that Web Ontology Language (OWL) is available in multiple "flavors" that are variously optimized for expressivity, performant reasoning, or for applications involving databases or business rules
- Knows that Web Ontology Language (OWL) is available in multiple "flavors" that are variously optimized for expressivity, performant reasoning, or for applications involving databases or business rules
- Reasoning over RDF data
- Interacting with RDF data
- Understands the principles and practice of inferencing.
- Interacting with RDF data
- Reasoning over RDF data
- Understands the principles and practice of inferencing.
- Uses common entailment regimes and understands their uses.
- Understands the principles and practice of inferencing.
- Reasoning over RDF data
- Interacting with RDF data