Complex matching of RDF datatype properties

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dc.identifier.uri http://dx.doi.org/10.15488/1333
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1358
dc.contributor.author Pereira Nunes, Bernardo
dc.contributor.author Mera, Alexander
dc.contributor.author Casanova, Marco Antonio
dc.contributor.author Fetahu, Besnik
dc.contributor.author Paes Leme, Luiz André P.
dc.contributor.author Dietze, Stefan
dc.date.accessioned 2017-04-20T08:42:21Z
dc.date.available 2017-04-20T08:42:21Z
dc.date.issued 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: Lecture Notes in Computer Science 8055 (2013), S. 195-208. DOI: https://doi.org/10.1007/978-3-642-40285-2_18
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 http://dx.doi.org/10.1007/978-3-642-40285-2_18. eng
dc.language.iso eng
dc.publisher Heidelberg : Springer Verlag
dc.relation.ispartofseries Lecture Notes in Computer Science 8055 (2013)
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.ddc 004 | Informatik ger
dc.title Complex matching of RDF datatype properties
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.essn 0302-9743
dc.relation.doi 10.1007/978-3-642-40285-2_18
dc.bibliographicCitation.volume 8055
dc.bibliographicCitation.firstPage 195
dc.bibliographicCitation.lastPage 208
dc.description.version acceptedVersion
tib.accessRights frei zug�nglich


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