Semantic query answering in digital libraries

Kollia, I; Rapantzikos, K; Stamou, G; Stafylopatis, A

dc.contributor.author	Kollia, I	en
dc.contributor.author	Rapantzikos, K	en
dc.contributor.author	Stamou, G	en
dc.contributor.author	Stafylopatis, A	en
dc.date.accessioned	2014-03-01T02:54:00Z
dc.date.available	2014-03-01T02:54:00Z
dc.date.issued	2012	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36534
dc.subject.other	Cultural content	en
dc.subject.other	Cultural heritages	en
dc.subject.other	Cultural institutions	en
dc.subject.other	Experimental studies	en
dc.subject.other	Learning-based approach	en
dc.subject.other	Query answering	en
dc.subject.other	Semantic interoperability	en
dc.subject.other	Semantic query	en
dc.subject.other	Semantic search	en
dc.subject.other	Semantic search methodologies	en
dc.subject.other	Visual feature	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Digital libraries	en
dc.subject.other	Historic preservation	en
dc.subject.other	Metadata	en
dc.subject.other	Semantics	en
dc.title	Semantic query answering in digital libraries	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-30448-4_3	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-30448-4_3	en
heal.publicationDate	2012	en
heal.abstract	A large activity for digitization, access and preservation of cultural heritage is taking place in Europe and the United States, which involves all types of cultural institutions, i.e., galleries, libraries, museums, archives and all types of cultural content. Semantic interoperability is a key issue in these developments. Content metadata constitute the main features of cultural items that are analysed and used to interpret users' queries, so that the most appropriate content is presented to the users. 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, through an interweaved knowledge and machine learning based approach. An experimental study is presented, using content from the Europeana digital library, illustrating the improved performance of the proposed semantic search approach. © 2012 Springer-Verlag.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-642-30448-4_3	en
dc.identifier.volume	7297 LNCS	en
dc.identifier.spage	17	en
dc.identifier.epage	24	en