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Extended RDF as a Semantic Foundation of Rule Markup Languages

Analyti, Anastasia, Antoniou, Grigoris, Damasio, Carlos Viegas and Wagner, Gerd (2008) Extended RDF as a Semantic Foundation of Rule Markup Languages. Journal of Artificial Intelligence Research, 32. pp. 37-94. ISSN 1076-9757

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    Abstract

    Ontologies and automated reasoning are the building blocks of the Semantic Web initiative. Derivation rules can be included in an ontology to define derived concepts, based on base concepts. For example, rules allow to define the extension of a class or property, based on a complex relation between the extensions of the same or other classes and properties. On the other hand, the inclusion of negative information both in the form of negation-as-failure and explicit negative information is also needed to enable various forms of reasoning. In this paper, we extend RDF graphs with weak and strong negation, as well as derivation rules. The ERDF stable model semantics of the extended framework (Extended RDF) is defined, extending RDF(S) semantics. A distinctive feature of our theory, which is based on Partial Logic, is that both truth and falsity extensions of properties and classes are considered, allowing for truth value gaps. Our framework supports both closed-world and open-world reasoning through the explicit representation of the particular closed-world assumptions and the ERDF ontological categories of total properties and total classes.

    Item Type: Article
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Schools: School of Computing and Engineering
    Related URLs:
    Depositing User: Grigoris Antoniou
    Date Deposited: 03 Jul 2012 13:41
    Last Modified: 03 Jul 2012 13:41
    URI: http://eprints.hud.ac.uk/id/eprint/13993

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