Complex matching of RDF datatype properties

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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:

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Sum total of downloads: 166

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
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Document Type: BookPart
Publishing status: acceptedVersion
Issue Date: 2013
Appears in Collections:Fakultät für Elektrotechnik und Informatik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 83 50.00%
2 image of flag of United States United States 17 10.24%
3 image of flag of China China 8 4.82%
4 image of flag of France France 6 3.61%
5 image of flag of Brazil Brazil 6 3.61%
6 image of flag of Ireland Ireland 4 2.41%
7 image of flag of Spain Spain 4 2.41%
8 image of flag of Taiwan Taiwan 3 1.81%
9 image of flag of Portugal Portugal 3 1.81%
10 image of flag of United Kingdom United Kingdom 3 1.81%
    other countries 29 17.47%

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