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SEMWEB
2010
Springer

Time-Oriented Question Answering from Clinical Narratives Using Semantic-Web Techniques

11 years 3 months ago
Time-Oriented Question Answering from Clinical Narratives Using Semantic-Web Techniques
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 narr...
Cui Tao, Harold R. Solbrig, Deepak K. Sharma, Wei-
Added 15 Feb 2011
Updated 15 Feb 2011
Type Journal
Year 2010
Where SEMWEB
Authors Cui Tao, Harold R. Solbrig, Deepak K. Sharma, Wei-Qi Wei, Guergana K. Savova, Christopher G. Chute
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