A Query-Based Medical Information Summarization System Using Ontology Knowledge

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...

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Veröffentlicht in:19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) S. 37 - 42
Hauptverfasser: Ping Chen, Verma, R.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 2006
Schlagworte:
Abstracts
Biomedical Ontology
Computer science
Data mining
Information analysis
Information retrieval
Libraries
Ontologies
Search engines
Text Summarization
UMLS
Unified modeling language
World Wide Web
ISBN:9780769525174, 0769525172
ISSN:1063-7125
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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
ISBN:9780769525174
0769525172
ISSN:1063-7125
DOI:10.1109/CBMS.2006.25