Title :
Semantic Patent Clustering for Biomedical Communities
Author :
Khelif, Khaled ; Hedhili, Aroua ; Collard, Martine
Author_Institution :
INRIA Sophia Antipolis Mediterranee, Sophia Antipolis
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;
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
DOI :
10.1109/WIIAT.2008.71
