Abstract

AbstractOntologies are becoming a core technology for supporting the sharing, integration, and management of information sources in Semantic Web applications. As critical as ontologies have become, ontology languages such as OWL typically provide minimal support for modeling the complex temporal information often contained in these sources. As a result, ontologies often cannot fully express the temporal knowledge needed by many applications, forcing users and developers to develop ad hoc solutions. In this paper, we present a methodology and a set of tools for representing and querying temporal information in OWL ontologies. The approach uses a lightweight temporal model to encode the temporal dimension of data. It also uses the OWL-based Semantic Web Rule Language (SWRL) and the SWRL-based OWL query language SQWRL to reason with and query the temporal information represented using our model.KeywordsTemporal InformationQuery LanguageTemporal ModelTemporal RepresentationCollection OperatorThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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