Improving semantic search in digital libraries using multimedia analysis

Kollia, I; Kalantidis, Y; Rapantzikos, K; Stafylopatis, A

dc.contributor.author	Kollia, I	en
dc.contributor.author	Kalantidis, Y	en
dc.contributor.author	Rapantzikos, K	en
dc.contributor.author	Stafylopatis, A	en
dc.date.accessioned	2014-03-01T02:09:20Z
dc.date.available	2014-03-01T02:09:20Z
dc.date.issued	2012	en
dc.identifier.issn	17962048	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29817
dc.subject	Content based search	en
dc.subject	Digital libraries	en
dc.subject	Europeana	en
dc.subject	Multimedia analysis	en
dc.subject	Semantic search	en
dc.subject.other	Content-based search	en
dc.subject.other	Cultural content	en
dc.subject.other	Europeana	en
dc.subject.other	Experimental studies	en
dc.subject.other	Learning-based approach	en
dc.subject.other	Multi-media analysis	en
dc.subject.other	Query answering	en
dc.subject.other	Semantic search	en
dc.subject.other	Semantic search methodologies	en
dc.subject.other	Visual feature	en
dc.subject.other	Digital libraries	en
dc.subject.other	Metadata	en
dc.subject.other	Motion Picture Experts Group standards	en
dc.subject.other	Semantics	en
dc.title	Improving semantic search in digital libraries using multimedia analysis	en
heal.type	journalArticle	en
heal.identifier.primary	10.4304/jmm.7.2.193-204	en
heal.identifier.secondary	http://dx.doi.org/10.4304/jmm.7.2.193-204	en
heal.publicationDate	2012	en
heal.abstract	Semantic search of cultural content is of major importance in current digital libraries, such as in Europeana. Content metadata constitute the main features of cultural items that are analysed, mapped and used to interpret users' queries, so that the most appropriate content is selected and presented to the users. Multimedia, especially visual, analysis, has not been a main component in these developments. This paper presents a new semantic search methodology, including a query answering mechanism which meets the semantics of users' queries and enriches the answers by exploiting appropriate visual features, both local and MPEG-7, through an interweaved knowledge and machine learning based approach. An experimental study is presented, using content from the Europeana digital library, and involving both thematic knowledge and extracted visual features from Europeana images, illustrating the improved performance of the proposed semantic search approach. © 2012 ACADEMY PUBLISHER.	en
heal.journalName	Journal of Multimedia	en
dc.identifier.doi	10.4304/jmm.7.2.193-204	en
dc.identifier.volume	7	en
dc.identifier.issue	2	en
dc.identifier.spage	193	en
dc.identifier.epage	204	en