The purpose of this presentation was to help conference attendees gain sufficient experience of working with OWL and tools (e.g., the Swoop ontology editor/browser) to allow them to fruitfully explore new ontologies that they may encounter. Also addressed was gaining fluency in the use and abuse of OWL by examining features, limitations, and workarounds in real contexts, as well as gaining an understanding of the impact of future extensions of OWL. NOTE: This lecture given by Bijan Parsia is combined with Bernardo Cuenca Grau and will encompass Part 2, Part 5, Part 6, Part 7 of the complete lecture. Part 1, 3 and 4 of this lecture can be found at Bernardo Cuenca Grau's lecture.
URL: http://videolectures.net/iswc06_grau_uofwi/
Keywords: Web Ontology Language (OWL), Ontology, Swoop
Author: Grau, Bernardo Cuenca
Publisher: videolectures.net
Date created: 2007-02-25 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P2H10M
Educational use: professionalDevelopment
Educational audience: teacher-educationSpecialist
Interactivity type: expositive
- Grasps essential differences between schemas for syntactic validation (e.g., XML) and for inferencing (RDF Schema).
- 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 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 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
- Uses available ontology browsing tools to explore the ontologies used in a particular dataset.