OWL-QL—a language for deductive query answering on the Semantic Web |
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| Authors: | Richard Fikes Patrick Hayes Ian Horrocks |
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| Affiliation: | aArtificial Intelligence Laboratory, Computer Science Department, Stanford University, Stanford, CA, USA;bInstitute for Human and Computer Cognition, University of West Florida Pensacola, FL, USA;cInformation Management Group, Department of Computer Science, University of Manchester, Manchester M139PL, UK |
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| Abstract: | This paper discusses the issues involved in designing a query language for the Semantic Web and presents the OWL query language (OWL-QL) as a candidate standard language and protocol for query–answering dialogues among Semantic Web computational agents using knowledge represented in the W3Cs ontology web language (OWL). OWL-QL is a formal language and precisely specifies the semantic relationships among a query, a query answer, and the knowledge base(s) used to produce the answer. Unlike standard database and Web query languages, OWL-QL supports query–answering dialogues in which the answering agent may use automated reasoning methods to derive answers to queries, as well as dialogues in which the knowledge to be used in answering a query may be in multiple knowledge bases on the Semantic Web, and/or where those knowledge bases are not specified by the querying agent. In this setting, the set of answers to a query may be of unpredictable size and may require an unpredictable amount of time to compute. |
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| Keywords: | Query language Semantic Web Question– answering |
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