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A query-based medical information summarization system using ontology knowledge

  • University of Houston-Downtown
  • University of Houston

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

As huge amounts of knowledge are created rapidly, effective information access becomes an important issue. Especially for critical domains, such as medical and financial areas, efficient retrieval of concise and relevant information is highly desired. In this paper we propose a new user query based text summarization technique that makes use of Unified Medical Language System, an ontology knowledge source from National Library of Medicine. We compare our method with keyword-only approach, and our ontology-based method performs clearly better. Our method also shows potential to be used in other information retrieval areas.

Original languageEnglish
Title of host publicationProceedings - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006
Pages37-42
Number of pages6
DOIs
StatePublished - 2006
Event19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006 - Salt Lake City, UT, United States
Duration: Jun 22 2006 → Jun 23 2006

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
Volume2006
ISSN (Print)1063-7125

Conference

Conference19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006
Country/TerritoryUnited States
CitySalt Lake City, UT
Period6/22/06 → 6/23/06

ASJC Scopus Subject Areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

Keywords

  • Biomedical ontology
  • Information retrieval
  • Text summarization
  • UMLS

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