TY - GEN
T1 - Time-oriented question answering from clinical narratives using semantic-web techniques
AU - Tao, Cui
AU - Solbrig, Harold R.
AU - Sharma, Deepak K.
AU - Wei, Wei Qi
AU - Savova, Guergana K.
AU - Chute, Christopher G.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78650911615&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650911615&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-17749-1_16
DO - 10.1007/978-3-642-17749-1_16
M3 - Conference contribution
AN - SCOPUS:78650911615
SN - 3642177484
SN - 9783642177484
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 241
EP - 256
BT - The Semantic Web, ISWC 2010 - 9th International Semantic Web Conference, ISWC 2010, Revised Selected Papers
PB - Springer Verlag
T2 - 9th International Semantic Web Conference, ISWC 2010
Y2 - 7 November 2010 through 11 November 2010
ER -