Article

A pattern-based ontology matching approach for detecting complex correspondences

Authors:

Dominique Ritze,

Christian Meilicke,

Ondřej Šváb-Zamazal,

Heiner StuckenschmidtAuthors Info & Claims

OM'09: Proceedings of the 4th International Conference on Ontology Matching - Volume 551

Pages 25 - 36

Published: 25 October 2009 Publication History

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Abstract

State of the art ontology matching techniques are limited to detect simple correspondences between atomic concepts and properties. Nevertheless, for many concepts and properties atomic counterparts will not exist, while it is possible to construct equivalent complex concept and property descriptions. We define a correspondence where at least one of the linked entities is non-atomic as complex correspondence. Further, we introduce several patterns describing complex correspondences. In particular, we focus on methods for automatically detecting complex correspondences. These methods are based on a combination of basic matching techniques. We conduct experiments with different datasets and discuss the results.

References

[1]

A. Doan and A. Y. Halevy. Semantic-integration research in the database community. AI Magazine, pages 83-94, 2005.

Crossref

Google Scholar

[2]

J. Euzenat, F. Scharffe, and A. Zimmermann. Expressive alignment language and implementation. deliverable 2.2.10, Knowledge web, 2007.

Google Scholar

[3]

J. Euzenat and P. Shvaiko. Ontology Matching. Springer, 2007.

Crossref

Google Scholar

[4]

V. I. Levenshtein. Binary codes capable of correcting deletions and insertions and reversals. Doklady Akademii Nauk SSSR, pages 845-848, 1965. In Russian. English Translation in Soviet Physics Doklady, 10(8) p. 707710, 1966.

Google Scholar

[5]

C. Meilicke, A. Tamilin, and H. Stuckenschmidt. Repairing Ontology Mappings. In Proceedings of the 22nd Conference on Artificial Intelligence, Vancouver, Canada, 2007.

Crossref

Google Scholar

[6]

H. Qin, D. Dou, and P. LePendu. Discovering Executable Semantic Mappings Between Ontologies. On the Move to Meaningful Internet Systems 2007: CoopIS, DOA, ODBASE, GADA, and IS, pages 832-849, 2007.

Crossref

Google Scholar

[7]

D. Ritze. Generating Complex Ontology Alignments, University Mannheim (Bachelor thesis), 2009.

Google Scholar

[8]

F. Scharffe. Correspondence Patterns Representation. PhD thesis, University of Innsbruck, 2009.

Google Scholar

[9]

H. Stuckenschmidt, L. Predoiu, and C. Meilicke. Learning Complex Ontology Alignments A Challenge for ILP Research. In Proceedings of the 18th International Conference on Inductive Logic Programming, 2008.

Google Scholar

[10]

O. Šváb, V. Svátek, P. Berka, D. Rak, and P. Tomášek. OntoFarm: Towards an Experimental Collection of Parallel Ontologies. In Poster Proceedings of the International Semantic Web Conference, 2005.

Google Scholar

[11]

O. Šváb-Zamazal and V. Svátek. Towards Ontology Matching via Pattern-Based Detection of Semantic Structures in OWL Ontologies. In Proceedings of the Znalosti Czecho-Slovak Knowledge Technology conference, 2009.

Google Scholar

[12]

O. Šváb-Zamazal, V. Svátek, J. David, and F. Scharffe. Towards Metamorphic Semantic Models. In Poster session at European Semantic Web Conference, 2009.

Google Scholar

[13]

O. Šváb-Zamazal, V. Svátek, and F. Scharffe. Pattern-based Ontology Transformation Service. In Proceedings of the 1st International Conference on Knowledge Engineering and Ontology Development, 2009.

Google Scholar

Cited By

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Zhou LShimizu CHitzler PSheill AEstrecha SFoley CTarr DRehberger Dd'Aquin MDietze SHauff CCurry ECudre Mauroux P(2020)The Enslaved DatasetProceedings of the 29th ACM International Conference on Information & Knowledge Management10.1145/3340531.3412768(3197-3204)Online publication date: 19-Oct-2020
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A pattern-based ontology matching approach for detecting complex correspondences
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Information & Contributors

Information

Published In

OM'09: Proceedings of the 4th International Conference on Ontology Matching - Volume 551

October 2009

261 pages

Editors:
Pavel Shvaiko
TasLab, Informatica Trentina, Italy
,
Jérôme Euzenat
INRIA & LIG, France
,
Fausto Giunchiglia
University of Trento, Italy
,
Heiner Stuckenschmidt
University of Mannheim, Germany
,
Natasha Noy
Stanford Center for Biomedical Informatics Research

Publisher

CEUR-WS.org

Aachen, Germany

Publication History

Published: 25 October 2009

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Zhou LShimizu CHitzler PSheill AEstrecha SFoley CTarr DRehberger Dd'Aquin MDietze SHauff CCurry ECudre Mauroux P(2020)The Enslaved DatasetProceedings of the 29th ACM International Conference on Information & Knowledge Management10.1145/3340531.3412768(3197-3204)Online publication date: 19-Oct-2020
https://dl.acm.org/doi/10.1145/3340531.3412768
Thoma SThalhammer AHarth AStuder R(2019)FusEACM Transactions on the Web10.1145/330612813:2(1-36)Online publication date: 17-Feb-2019
https://dl.acm.org/doi/10.1145/3306128
Thalhammer AThoma SHarth AStuder RDolog PVojtas PBonchi FHelic D(2017)Entity-centric Data Fusion on the WebProceedings of the 28th ACM Conference on Hypertext and Social Media10.1145/3078714.3078717(25-34)Online publication date: 4-Jul-2017
https://dl.acm.org/doi/10.1145/3078714.3078717
Jiang SLowd DKafle SDou D(2016)Ontology Matching with Knowledge RulesTransactions on Large-Scale Data- and Knowledge-Centered Systems XXVIII - Volume 994010.1007/978-3-662-53455-7_4(75-95)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1007/978-3-662-53455-7_4
Rouces JMelo GHose K(2016)Heuristics for Connecting Heterogeneous Knowledge via FrameBaseProceedings of the 13th International Conference on The Semantic Web. Latest Advances and New Domains - Volume 967810.1007/978-3-319-34129-3_2(20-35)Online publication date: 29-May-2016
https://dl.acm.org/doi/10.1007/978-3-319-34129-3_2
Jiang SLowd DDou D(2015)Ontology Matching with Knowledge RulesProceedings, Part I, of the 26th International Conference on Database and Expert Systems Applications - Volume 926110.1007/978-3-319-22849-5_7(94-108)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1007/978-3-319-22849-5_7

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