DocumentCode
480712
Title
Semantic Patent Clustering for Biomedical Communities
Author
Khelif, Khaled ; Hedhili, Aroua ; Collard, Martine
Author_Institution
INRIA Sophia Antipolis Mediterranee, Sophia Antipolis
Volume
1
fYear
2008
fDate
9-12 Dec. 2008
Firstpage
419
Lastpage
422
Abstract
In this paper, we present the Pat Clust clustering solution for textual documents based on semantic criteria. Our proposition is dedicated to patent documents of the biomedical domain. We present three different approaches and we show that semantic web techniques clearly allow to improve the quality of resulting clusters.
Keywords
medical computing; patents; pattern clustering; semantic Web; text analysis; Pat Clust clustering solution; biomedical community; biomedical domain; patent documents; semantic Web techniques; semantic criteria; semantic patent clustering; textual documents; Clustering methods; Communities; Data mining; Frequency; Intellectual property; Intelligent agent; Ontologies; Radio access networks; Semantic Web; Text mining; ontologies; patent clustering; semantic annotations;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
978-0-7695-3496-1
Type
conf
DOI
10.1109/WIIAT.2008.71
Filename
4740486
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