CNTRO: A Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives.

نویسندگان

  • Cui Tao
  • Wei-Qi Wei
  • Harold R Solbrig
  • Guergana Savova
  • Christopher G Chute
چکیده

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.

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عنوان ژورنال:
  • AMIA ... Annual Symposium proceedings. AMIA Symposium

دوره 2010  شماره 

صفحات  -

تاریخ انتشار 2010