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Reverse ontology matching

Authors:

Jorge Martinez-Gil,

Jose F. Aldana-MontesAuthors Info & Claims

ACM SIGMOD Record, Volume 39, Issue 4

Pages 5 - 11

https://doi.org/10.1145/1978915.1978917

Published: 06 May 2011 Publication History

Abstract

Ontology Matching aims to find the semantic correspondences between ontologies that belong to a single domain but that have been developed separately. However, there are still some problem areas to be solved, because experts are still needed to supervise the matching processes and an efficient way to reuse the alignments has not yet been found. We propose a novel technique named Reverse Ontology Matching, which aims to find the matching functions that were used in the original process. The use of these functions is very useful for aspects such as modeling behavior from experts, performing matching-by-example, reverse engineering existing ontology matching tools or compressing ontology alignment repositories. Moreover, the results obtained from a widely used benchmark dataset provide evidence of the effectiveness of this approach.

References

[1]

Arenas, M, Perez, J., Riveros, C. (2008) The recovery of a schema mapping: bringing exchanged data back. Proc. of PODS 13--22.

Digital Library

[2]

Arenas, M, Perez, J., Reutter, C. (2009) Inverting Schema Mappings: Bridging the Gap between Theory and Practice. PVLDB 2(1) 1018--1029.

Digital Library

[3]

Choi, C., Song, I.,Han, H. (2006) A Survey on Ontology Mapping. ACM Sigmod Record 35(3) 34--41.

Digital Library

[4]

Cilibrasi, R., Vitanyi, P. (2007) The Google Similarity Distance. IEEE Trans. Knowl. Data Eng. 19(3) 370--383.

Digital Library

[5]

Ehrig, M. (2006) Ontology Alignment: Bridging the Semantic Gap. Springer-Verlag.

Digital Library

[6]

Eckert, K., Meilicke, C., Stuckenschmidt, H. (2009) Improving Ontology Matching Using Meta-level Learning. Proc. of European Semantic Web Conference ESWC 2009 158--172.

Digital Library

[7]

Euzenat, J., Shvaiko, P. (2007) Ontology Matching. Springer-Verlag.

Digital Library

[8]

Fagin, R., Kolaitis, PG., Popa, L., Tan, WC. (2009) Reverse data exchange: coping with nulls. Proc. of PODS 23--32.

Digital Library

[9]

Gruber, T. (1993) A translation approach to portable ontology specifications. Knowledge Adquisition 5(2) 199--220.

Digital Library

[10]

Hu, W., Qu, Y., Cheng, G. (2008) Matching large ontologies: A divide-and-conquer approach. Data Knowl. Eng. 67(1) 140--160.

Digital Library

[11]

Kalfoglou, Y., Schorlemmer, M. (2003) Ontology mapping: the state of the art. Knowledge Eng. Review 18(1) 1--31.

Digital Library

[12]

Li, J., Tang, J., Li, Y., Luo, Q. (2009) RiMOM: A Dynamic Multistrategy Ontology Alignment Framework. IEEE Trans. Knowl. Data Eng. 21(8) 1218--1232.

Digital Library

[13]

Martinez-Gil, J., Aldana-Montes, J. (2011) Evaluation of two heuristic approaches to solve the ontology meta-matching problem Knowl. Inf. Syst. 26(2) 225--247.

Digital Library

[14]

Noy, N. (2004) Semantic Integration: A Survey Of Ontology-Based Approaches. ACM Sigmod Record 33(4) 65--70.

Digital Library

[15]

Pirró, G., Talia, D. (2010) UFOme: An ontology mapping system with strategy prediction capabilities. Data Knowl. Eng. 69(5) 444--471.

Digital Library

[16]

Rahm, E., Bernstein, P.A. (2001) A survey of approaches to automatic schema matching. VLDB J. 10(4) 334--350.

Digital Library

Cited By

Zanabria CAndrén FKathan JStrasser T(2018)Rapid Prototyping of Multi-Functional Battery Energy Storage System ApplicationsApplied Sciences10.3390/app80813268:8(1326)Online publication date: 8-Aug-2018
https://doi.org/10.3390/app8081326
Martinez-Gil J(2016)Accurate Semantic Similarity Measurement of Biomedical Nomenclature by Means of Fuzzy LogicInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems10.1142/S021848851650014824:02(291-305)Online publication date: 21-Apr-2016
https://doi.org/10.1142/S0218488516500148
Martinez-Gil J(2016)CoTOCognitive Systems Research10.1016/j.cogsys.2016.01.00140:C(8-17)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1016/j.cogsys.2016.01.001
Show More Cited By

Index Terms

Reverse ontology matching
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
  2. Machine learning
2. Theory of computation
  1. Logic

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Information & Contributors

Information

Published In

cover image ACM SIGMOD Record

ACM SIGMOD Record Volume 39, Issue 4

December 2010

32 pages

ISSN:0163-5808

DOI:10.1145/1978915

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Copyright © 2011 Authors.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 May 2011

Published in SIGMOD Volume 39, Issue 4

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Cited By

Zanabria CAndrén FKathan JStrasser T(2018)Rapid Prototyping of Multi-Functional Battery Energy Storage System ApplicationsApplied Sciences10.3390/app80813268:8(1326)Online publication date: 8-Aug-2018
https://doi.org/10.3390/app8081326
Martinez-Gil J(2016)Accurate Semantic Similarity Measurement of Biomedical Nomenclature by Means of Fuzzy LogicInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems10.1142/S021848851650014824:02(291-305)Online publication date: 21-Apr-2016
https://doi.org/10.1142/S0218488516500148
Martinez-Gil J(2016)CoTOCognitive Systems Research10.1016/j.cogsys.2016.01.00140:C(8-17)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1016/j.cogsys.2016.01.001
Martinez-Gil JPaoletti ASchewe K(2016)A Smart Approach for Matching, Learning and Querying Information from the Human Resources DomainNew Trends in Databases and Information Systems10.1007/978-3-319-44066-8_17(157-167)Online publication date: 14-Aug-2016
https://doi.org/10.1007/978-3-319-44066-8_17
(2015)Automated knowledge base managementComputer Science Review10.1016/j.cosrev.2015.09.00118:C(1-9)Online publication date: 1-Nov-2015
https://dl.acm.org/doi/10.1016/j.cosrev.2015.09.001
Martinez-Gil JPichler M(2014)Analysis of word co-occurrence in human literature for supporting semantic correspondence discoveryProceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business10.1145/2637748.2638422(1-7)Online publication date: 16-Sep-2014
https://dl.acm.org/doi/10.1145/2637748.2638422
Yu JSheng QHan JWu YLiu C(2012)A semantically enhanced service repository for user-centric service discovery and managementData & Knowledge Engineering10.1016/j.datak.2011.10.00572(202-218)Online publication date: 1-Feb-2012
https://dl.acm.org/doi/10.1016/j.datak.2011.10.005

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