This tutorial introduces many of the more advanced features of the Web Ontology Language (OWL). The topic of family history is used to take the user through various modelling issues and, in doing so, using many features of OWL 2 to build a Family History Knowledge Base (FHKB). The exercises assume that users are familiar with Protege-OWL editor and they are designed to maximize inference about family history through use of an automated reasoner on an OWL knowledge base (KB) containing many members of a large family.
URL: http://mowl-power.cs.man.ac.uk/fhkbtutorial/resources/FHKB-tutorial_v1_0.pdf
Keywords: Web Ontology Language (OWL), Expressivity, ABox, TBox, Open World Assumption (OWA), Protege-OWL
Author: Stevens, Margaret
Publisher: University of Manchester
Date created: 2013-03-07 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P3H
- Correctly uses sub-class relationships in support of inference.
- 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-class relationships in support of inference.
- Uses RDF Schema to express semantic relationships within a vocabulary.
- Designing RDF-based vocabularies
- RDF vocabularies and application profiles
- Correctly uses sub-property relationships in support of inference.
- RDF vocabularies and application profiles
- Designing RDF-based vocabularies
- Uses RDF Schema to express semantic relationships within a vocabulary.
- Correctly uses sub-property 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 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
- Understands the role of formally declared domains and ranges for inferencing.
- Interacting with RDF data
- Reasoning over RDF data
- Understands the role of formally declared domains and ranges for inferencing.
- Understands the role of formally declared domains and ranges for inferencing.
- Reasoning over RDF data
- Interacting with RDF data
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