Conceptual hierarchical clustering of documents using Wikipedia knowledge

Spanakis, G; Siolas, G; Stafylopatis, A

dc.contributor.author	Spanakis, G	en
dc.contributor.author	Siolas, G	en
dc.contributor.author	Stafylopatis, A	en
dc.date.accessioned	2014-03-01T02:52:38Z
dc.date.available	2014-03-01T02:52:38Z
dc.date.issued	2010	en
dc.identifier.issn	18761100	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35962
dc.subject.other	Clustering process	en
dc.subject.other	Document Representation	en
dc.subject.other	Hier-archical clustering	en
dc.subject.other	Novel methods	en
dc.subject.other	Wikipedia	en
dc.subject.other	Clustering algorithms	en
dc.subject.other	Information science	en
dc.title	Conceptual hierarchical clustering of documents using Wikipedia knowledge	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-90-481-9794-1_25	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-90-481-9794-1_25	en
heal.publicationDate	2010	en
heal.abstract	In this paper, we propose a novel method for conceptual hierarchical clustering of documents using knowledge extracted from Wikipedia. A robust and compact document representation is built in real-time using the Wikipedia API. The clustering process is hierarchical and creates cluster labels which are descriptive and important for the examined corpus. Experiments show that the proposed technique greatly improves over the baseline approach. © 2011 Springer Science+Business Media B.V.	en
heal.journalName	Lecture Notes in Electrical Engineering	en
dc.identifier.doi	10.1007/978-90-481-9794-1_25	en
dc.identifier.volume	62 LNEE	en
dc.identifier.spage	121	en
dc.identifier.epage	126	en