title: CNTRO: A Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives.
abstract: Using Semantic-Web specifications to represent temporal information in clinical narratives is an important step for temporal reasoning and answering time-oriented queries. Existing temporal models are either not compatible with the powerful reasoning tools developed for the Semantic Web, or designed only for structured clinical data and therefore are not ready to be applied on natural-language-based clinical narrative reports directly. We have developed a Semantic-Web ontology which is called Clinical Narrative Temporal Relation ontology. Using this ontology, temporal information in clinical narratives can be represented as RDF (Resource Description Framework) triples. More temporal information and relations can then be inferred by Semantic-Web based reasoning tools. Experimental results show that this ontology can represent temporal information in real clinical narratives successfully.
authors.affiliation: Mayo Clinic College of Medicine, Rochester, MN.
authors.forename: Cui
authors.initials: C
authors.lastname: Tao
authors.forename: Wei-Qi
authors.initials: WQ
authors.lastname: Wei
authors.forename: Harold R
authors.initials: HR
authors.lastname: Solbrig
authors.forename: Guergana
authors.initials: G
authors.lastname: Savova
authors.forename: Christopher G
authors.initials: CG
authors.lastname: Chute
mesh_terms: D006801:Humans; D020407:Internet; D033262:Narration; D012660:Semantics