Complex matching of RDF datatype properties

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dc.identifier.uri Pereira Nunes, Bernardo Mera, Alexander Casanova, Marco Antonio Fetahu, Besnik Paes Leme, Luiz André P. Dietze, Stefan
dc.contributor.editor Decker, Hendrik
dc.contributor.editor Lhotská, Lenka
dc.contributor.editor Link, Sebastian
dc.contributor.editor Basl, Josef
dc.contributor.editor Tjoa, A Min 2017-04-20T08:42:21Z 2017-04-20T08:42:21Z 2013
dc.identifier.citation Pereira Nunes, B.; Mera, A.; Casanova, M.A.; Fetahu, B.; Paes Leme, L.A.P.; Dietze, S.: Complex matching of RDF datatype properties. In: Decker, H.; Lhotská, L.; Link, S.; Basl, J.; Tjoa, A M. (Eds.): Database and Expert Systems Applications : 24th International Conference, DEXA 2013, Prague, Czech Republic, August 26-29, 2013, Proceedings, Part I. Heidelberg : Springer, 2013 (Lecture Notes in Computer Science ; 8055), S. 195-208. DOI:
dc.description.abstract Property mapping is a fundamental component of ontology matching, and yet there is little support that goes beyond the identification of single property matches. Real data often requires some degree of composition, trivially exemplified by the mapping of "first name" and "last name" to "full name" on one end, to complex matchings, such as parsing and pairing symbol/digit strings to SSN numbers, at the other end of the spectrum. In this paper, we propose a two-phase instance-based technique for complex datatype property matching. Phase 1 computes the Estimate Mutual Information matrix of the property values to (1) find simple, 1:1 matches, and (2) compute a list of possible complex matches. Phase 2 applies Genetic Programming to the much reduced search space of candidate matches to find complex matches. We conclude with experimental results that illustrate how the technique works. Furthermore, we show that the proposed technique greatly improves results over those obtained if the Estimate Mutual Information matrix or the Genetic Programming techniques were to be used independently. The final publication is available at Springer via eng
dc.language.iso eng
dc.publisher Heidelberg : Springer
dc.relation.ispartof Database and Expert Systems Applications : 24th International Conference, DEXA 2013, Prague, Czech Republic, August 26-29, 2013, Proceedings, Part I
dc.relation.ispartofseries Lecture Notes in Computer Science ; 8055
dc.rights Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
dc.subject Genetic Programming eng
dc.subject Mutual Information eng
dc.subject Ontology Matching eng
dc.subject Schema Matching eng
dc.subject Fundamental component eng
dc.subject Genetic programming technique eng
dc.subject Property value eng
dc.subject Search spaces eng
dc.subject Expert systems eng
dc.subject Ontology eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 004 | Informatik ger
dc.title Complex matching of RDF datatype properties eng
dc.type BookPart
dc.type Text
dc.relation.essn 0302-9743
dc.relation.isbn 978-3-642-40284-5
dc.relation.issn 0302-9743
dc.relation.doi 10.1007/978-3-642-40285-2_18
dc.bibliographicCitation.firstPage 195
dc.bibliographicCitation.lastPage 208
dc.description.version acceptedVersion
tib.accessRights frei zug�nglich

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