Comparing representations of geographic knowledge expressed as conceptual graphs

Karalopoulos, A; Kokla, M; Kavouras, M

dc.contributor.author	Karalopoulos, A	en
dc.contributor.author	Kokla, M	en
dc.contributor.author	Kavouras, M	en
dc.date.accessioned	2014-03-01T02:43:10Z
dc.date.available	2014-03-01T02:43:10Z
dc.date.issued	2005	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31272
dc.subject	Conceptual Graph	en
dc.subject	Object Oriented	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Algorithms	en
dc.subject.other	Data reduction	en
dc.subject.other	Knowledge based systems	en
dc.subject.other	Object oriented programming	en
dc.subject.other	Semantics	en
dc.subject.other	Binary structures	en
dc.subject.other	Conceptual Graphs	en
dc.subject.other	Formalism	en
dc.subject.other	Geographic ontologies	en
dc.subject.other	Graph theory	en
dc.title	Comparing representations of geographic knowledge expressed as conceptual graphs	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11586180_1	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11586180_1	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	Conceptual Graphs are a very powerful knowledge and meaning representation formalism grounded on deep philosophical, linguistic and object oriented principles [1], [2]. Concerning geographic knowledge representation and matching, the study and analysis of geographic concept definitions plays an important role in deriving systematic knowledge about concepts and comparing geographic categories in order to identify similarities and heterogeneities [4]. Based on the proposed algorithm for the representation of geographic knowledge using conceptual graphs, we also present a method that takes into consideration the special structure of conceptual graphs and produces an output that shows how much similar two geographic concepts are and hence which concept is semantically closer to another. For producing the conceptual graph representation of any geographic concept definition we follow two steps, tagging and parsing, while for measuring the similarity between two geographic ontologies we apply proper modifications to the Dice coefficient that is mainly used for comparing binary structures. © 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	10.1007/11586180_1	en
dc.identifier.isi	ISI:000234717100001	en
dc.identifier.volume	3799 LNCS	en
dc.identifier.spage	1	en
dc.identifier.epage	14	en