HuTO: une Ontologie Temporelle Narrative pour les Applications du Web Sémantique : HuTO: une Ontologie Temporelle Narrative

Papa Fary Diallo 1, 2, * Olivier Corby 1 Isabelle Mirbel 1 Moussa Lo 2 Seydina M. Ndiaye 2
* Corresponding author
1 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : The temporal phenomena have many facets that are studied by different communities. In Semantic Web, large heterogeneous data are handled and produced. These data often have informal, semi-formal or formal temporal information which must be interpreted by software agents. In this paper we present Human Time Ontology (HuTO) an RDFS ontology to annotate and represent temporal data. A major contribution of HuTO is the modeling of non-convex intervals giving the ability to write queries for this kind of interval. HuTO also incorporates normalization and reasoning rules to explicit certain information. HuTO also proposes an approach which associates a temporal dimension to the knowledge base content. This facilitates information retrieval by considering or not the temporal aspect.
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  • HAL Id : hal-01165486, version 1
  • ARXIV : 1506.05969

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Papa Fary Diallo, Olivier Corby, Isabelle Mirbel, Moussa Lo, Seydina M. Ndiaye. HuTO: une Ontologie Temporelle Narrative pour les Applications du Web Sémantique : HuTO: une Ontologie Temporelle Narrative . Ingénierie des Connaissances 2015, Jul 2015, Rennes, France. ⟨hal-01165486⟩

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