Time-oriented question answering from clinical narratives using semantic-web techniques

Cui Tao, Harold R. Solbrig, Deepak K. Sharma, Wei Qi Wei, Guergana K. Savova, Christopher G. Chute

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations


The ability to answer temporal-oriented questions based on clinical narratives is essential to clinical research. The temporal dimension in medical data analysis enables clinical researches on many areas, such as, disease progress, individualized treatment, and decision support. The Semantic Web provides a suitable environment to represent the temporal dimension of the clinical data and reason about them. In this paper, we introduce a Semantic-Web based framework, which provides an API for querying temporal information from clinical narratives. The framework is centered by an OWL ontology called CNTRO (Clinical Narrative Temporal Relation Ontology), and contains three major components: time normalizer, SWRL based reasoner, and OWL-DL based reasoner. We also discuss how we adopted these three components in the clinical domain, their limitations, as well as extensions that we found necessary or desirable to archive the purposes of querying time-oriented data from real-world clinical narratives.

Original languageEnglish (US)
Title of host publicationThe Semantic Web, ISWC 2010 - 9th International Semantic Web Conference, ISWC 2010, Revised Selected Papers
PublisherSpringer Verlag
Number of pages16
EditionPART 2
ISBN (Print)3642177484, 9783642177484
StatePublished - 2010
Event9th International Semantic Web Conference, ISWC 2010 - Shanghai, China
Duration: Nov 7 2010Nov 11 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6497 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th International Semantic Web Conference, ISWC 2010

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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