Institutional Repository [SANDBOX]
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Temporal reasoning for supporting temporal queries in OWL 2.0

Petrakis Evripidis, Stravoskoufos Konstantinos, Sotiris Batsakis

Simple record


URIhttp://purl.tuc.gr/dl/dias/D5879279-5D2E-4322-8D7D-6E25B8ACE6A0-
Identifierhttps://doi.org/10.1007/978-3-642-23851-2_57-
Languageen-
TitleTemporal reasoning for supporting temporal queries in OWL 2.0en
CreatorPetrakis Evripidisen
CreatorΠετρακης Ευριπιδηςel
CreatorStravoskoufos Konstantinosen
CreatorΣτραβοσκουφος Κωνσταντινοςel
CreatorSotiris Batsakisen
PublisherSpringer Verlagen
Content SummaryWe propose an approach for reasoning and querying over temporal information in OWL ontologies. Representing both qualitative temporal (i.e., information whose temporal extents are unknown such as “before”, “after” for temporal relations) in addition to quantitative information (i.e., where temporal information is defined precisely e.g., using dates) is a distinctive feature of the proposed ontology. Qualitative representations are very common in natural language expressions such as in free text or speech and can be proven to be valuable in the Semantic Web. Reasoning rules applying over temporal relations, infer implied relations, detect inconsistencies and retain soundness, completeness and tractability over the supported sets of relations using path consistency. Temporal representations are defined on time instants rather than on intervals (as it is typical in the literature), resulting into simpler yet equivalent representations. A SPARQL-based temporal query language capable of exploiting the characteristics of the underlying representation is also implemented and discussed.en
Type of ItemΠερίληψη Δημοσίευσης σε Συνέδριοel
Type of ItemConference Paper Abstracten
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-01-
Date of Publication2011-
Bibliographic CitationSotiris Batsakis, Kostas Stravoskoufos, Euripides G.M. Petrakis, "Temporal Reasoning for Supporting Temporal Queries in OWL 2.0", in 15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES'2011), 2011, pp. 558-567. doi:10.1007/978-3-642-23851-2_57en

Services

Statistics