HuTO: an Human Time Ontology for Semantic Web Applications
  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.
