A string metric for ontology alignment

Stoilos, G; Stamou, G; Kollias, S

dc.contributor.author	Stoilos, G	en
dc.contributor.author	Stamou, G	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:43:05Z
dc.date.available	2014-03-01T02:43:05Z
dc.date.issued	2005	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31220
dc.subject	Distance Metric	en
dc.subject	Knowledge Based System	en
dc.subject	Knowledge Sharing	en
dc.subject	Ontology Alignment	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Computer software reusability	en
dc.subject.other	Interoperability	en
dc.subject.other	Knowledge engineering	en
dc.subject.other	Metric system	en
dc.subject.other	Knowledge sharing	en
dc.subject.other	Ontology alignment	en
dc.subject.other	String metric	en
dc.subject.other	Information retrieval	en
dc.title	A string metric for ontology alignment	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11574620_45	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11574620_45	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	Ontologies are today a key part of every knowledge based system. They provide a source of shared and precisely defined terms, resulting in system interoperability by knowledge sharing and reuse. Unfortunately, the variety of ways that a domain can be conceptualized results in the creation of different ontologies with contradicting or over-lapping parts. For this reason ontologies need to be brought into mutual agreement (aligned). One important method for ontology alignment is the comparison of class and property names of ontologies using string-distance metrics. Today quite a lot of such metrics exist in literature. But all of them have been initially developed for different applications and fields, resulting in poor performance when applied in this new domain. In the current paper we present a new string metric for the comparison of names which performs better on the process of ontology alignment as well as to many other field matching problems. © 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	10.1007/11574620_45	en
dc.identifier.isi	ISI:000233748600043	en
dc.identifier.volume	3729 LNCS	en
dc.identifier.spage	624	en
dc.identifier.epage	637	en