DocumentCode
2152205
Title
A Query-Based Medical Information Summarization System Using Ontology Knowledge
Author
Chen, Ping ; Verma, Rakesh
Author_Institution
Dept. of Comput. & Math. Sci., Houston Univ., TX
fYear
0
fDate
0-0 0
Firstpage
37
Lastpage
42
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
Keywords
medical information systems; ontologies (artificial intelligence); National Library of Medicine; keyword-only approach; ontology knowledge; ontology-based method; query-based medical information summarization system; unified medical language system; user query based text summarization technique; Abstracts; Computer science; Data mining; Information analysis; Information retrieval; Libraries; Ontologies; Search engines; Unified modeling language; World Wide Web; Biomedical Ontology; Information Retrieval; Text Summarization; UMLS;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
Conference_Location
Salt Lake City, UT
ISSN
1063-7125
Print_ISBN
0-7695-2517-1
Type
conf
DOI
10.1109/CBMS.2006.25
Filename
1647543
Link To Document