{"paper":{"title":"HuTO: an Human Time Ontology for Semantic Web Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Isabelle Mirbel (WIMMICS), Moussa Lo, Olivier Corby (WIMMICS), Papa Fary Diallo (WIMMICS), Seydina M. Ndiaye","submitted_at":"2015-06-19T12:08:39Z","abstract_excerpt":"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 informati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1506.05969","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}