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

Cui Tao, Wei Qi Wei, Harold Solbrig, Guergana Savova, Christopher Chute

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)787-791
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Volume2010
StatePublished - 2010
Externally publishedYes

ASJC Scopus subject areas

  • Medicine(all)

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