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Reverse ontology matching

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.

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Cited By

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  • (2018)Rapid Prototyping of Multi-Functional Battery Energy Storage System ApplicationsApplied Sciences10.3390/app80813268:8(1326)Online publication date: 8-Aug-2018
  • (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
  • (2016)CoTOCognitive Systems Research10.1016/j.cogsys.2016.01.00140:C(8-17)Online publication date: 1-Dec-2016
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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
Issue’s Table of Contents

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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

View all
  • (2018)Rapid Prototyping of Multi-Functional Battery Energy Storage System ApplicationsApplied Sciences10.3390/app80813268:8(1326)Online publication date: 8-Aug-2018
  • (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
  • (2016)CoTOCognitive Systems Research10.1016/j.cogsys.2016.01.00140:C(8-17)Online publication date: 1-Dec-2016
  • (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
  • (2015)Automated knowledge base managementComputer Science Review10.1016/j.cosrev.2015.09.00118:C(1-9)Online publication date: 1-Nov-2015
  • (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
  • (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

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