Semantic information in geo-ontologies: Extraction, comparison, and reconciliation

Kokla, M; Kavouras, M

dc.contributor.author	Kokla, M	en
dc.contributor.author	Kavouras, M	en
dc.date.accessioned	2014-03-01T02:43:31Z
dc.date.available	2014-03-01T02:43:31Z
dc.date.issued	2005	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31456
dc.subject	Conceptual Analysis	en
dc.subject	Semantic Heterogeneity	en
dc.subject	Semantic Information	en
dc.subject	Semantic Integration	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Electronic document identification systems	en
dc.subject.other	Feature extraction	en
dc.subject.other	Information retrieval	en
dc.subject.other	Metadata	en
dc.subject.other	Semantics	en
dc.subject.other	Geographic metadata sources	en
dc.subject.other	Semantic factoring	en
dc.subject.other	Semantic heterogeneity	en
dc.subject.other	Semantic information extraction	en
dc.subject.other	Information management	en
dc.title	Semantic information in geo-ontologies: Extraction, comparison, and reconciliation	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11496168_6	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11496168_6	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	A crucial issue during semantic integration of different geographic metadata sources is category comparison and reconciliation. We focus on the development of a framework for identification and resolution of semantic heterogeneity between geographic categories. The framework is divided in three processes: extraction, comparison and reconciliation. The first process performs semantic information extraction and formalization based on definitions of geographic category terms. Definitions constitute important sources of semantic information for geographic categories. Based on specific rules, definitions are analyzed in a set of semantic elements (properties and values). This information is further used in the second process to identify similarities and heterogeneities between geographic categories. Heterogeneity reconciliation is implemented by semantic factoring, a conceptual analysis process which results in a set of non-redundant, non-overlapping categories. © Springer-Verlag Berlin Heidelberg 2005.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/11496168_6	en
dc.identifier.isi	ISI:000232369300006	en
dc.identifier.volume	3534 LNCS	en
dc.identifier.spage	125	en
dc.identifier.epage	142	en