Customizable and Ontology-Enhanced Medical Information Retrieval Interfaces

Leroy, Gondy and Tolle, Kristin M. and Chen, Hsinchun (1999) Customizable and Ontology-Enhanced Medical Information Retrieval Interfaces. In Proceedings International Medical Informatics Association Working Group 6 on Medical Concept Representation, Phoenix, AZ.

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Abstract

This paper describes the development and testing of the Medical Concept Mapper as an aid to providing synonyms and semantically related concepts to improve searching. All terms are related to the userquery and fit into the query context. The system is unique because its five components combine humancreated and computer-generated elements. The Arizona Noun Phraser extracts phrases from natural language user queries. WordNet and the UMLS Metathesaurus provide synonyms. The Arizona Concept Space generates conceptually related terms. Semantic relationships between queries and concepts are established using the UMLS Semantic Net. Two user studies conducted to evaluate the system are described.

EPrint Type:	Conference Paper
Keywords:	National Science Digital Library, NSDL, Artificial Intelligence Lab, AI Lab, Medical Information Retrieval, Ontologies, UMLS, Deep Semantic Parsing
Subjects:	Human Computer Interaction Medical Libraries Information Seeking Behaviors
ID Code:	436
Deposited On:	16 August 2004
Alternative Locations:	http://ai.bpa.arizona.edu/go/papers.html
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