OMT, a Web-Based Tool for Ontology Matching

Authors João Rodrigues Gomes, Alda Lopes Gançarski , Pedro Rangel Henriques



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Author Details

João Rodrigues Gomes
  • Centro ALGORITMI, Departamento de Informática, University of Minho, Braga, Portugal
Alda Lopes Gançarski
  • Centro ALGORITMI, Departamento de Informática, University of Minho, Braga, Portugal
Pedro Rangel Henriques
  • Centro ALGORITMI, Departamento de Informática, University of Minho, Braga, Portugal

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João Rodrigues Gomes, Alda Lopes Gançarski, and Pedro Rangel Henriques. OMT, a Web-Based Tool for Ontology Matching. In 11th Symposium on Languages, Applications and Technologies (SLATE 2022). Open Access Series in Informatics (OASIcs), Volume 104, pp. 8:1-8:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/OASIcs.SLATE.2022.8

Abstract

In recent years ontologies have become an integral part of storing information in a structured and formal manner and a way of sharing said information. With this rise in usage, it was only a matter of time before different people wrote distinct ontologies to represent the same knowledge domain. The area of Ontology Matching was created with the purpose of finding correspondences between different ontologies that represented information in the same domain area. This paper starts with a study of already existing ontology matching methods in order to understand the existing techniques, focusing on the advantages and disadvantages of each one. Then, we propose an approach and an architecture to develop a new web-based tool using the knowledge acquired during the bibliographic research. The paper also includes the presentation of a prototype of the proposed tool, called OMT.

Subject Classification

ACM Subject Classification
  • Information systems → Web Ontology Language (OWL)
  • Computing methodologies → Ontology engineering
Keywords
  • Ontology
  • Ontology Matching
  • Ontology Alignment

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References

  1. Sean Bechhofer, Frank van Harmelen, Jim Hendler, Ian Horrocks, Deborah McGuinness, Peter Patel-Schneijder, and Lynn Andrea Stein. OWL Web Ontology Language Reference. Recommendation, World Wide Web Consortium (W3C), February 10 2004. See URL: http://www.w3.org/TR/owl-ref/.
  2. Gavin Carothers and Eric Prud'hommeaux. RDF 1.1 turtle, February 2014. URL: http://www.w3.org/TR/2014/REC-turtle-20140225/.
  3. William W. Cohen, Pradeep Ravikumar, and Stephen E. Fienberg. A comparison of string distance metrics for name-matching tasks. In IIWeb, 2003. Google Scholar
  4. Isabel F. Cruz, Flavio Palandri Antonelli, and Cosmin Stroe. Agreementmaker: Efficient matching for large real-world schemas and ontologies. Proc. VLDB Endow., 2:1586-1589, 2009. Google Scholar
  5. Jérôme David, Fabrice Guillet, and Henri Briand. Matching directories and owl ontologies with aroma. In Proceedings of the 15th ACM International Conference on Information and Knowledge Management, CIKM '06, page 830–831, New York, NY, USA, 2006. Association for Computing Machinery. URL: https://doi.org/10.1145/1183614.1183752.
  6. Sean M. Falconer and Natalya F. Noy. Interactive Techniques to Support Ontology Matching, pages 29-51. Springer Berlin Heidelberg, Berlin, Heidelberg, 2011. Google Scholar
  7. Thomas R. Gruber. A translation approach to portable ontology specifications. Knowledge Acquisition, 5(2):199-220, 1993. Google Scholar
  8. Walid Hassen. Medley results for oaei 2012. In Proceedings of the 7th International Conference on Ontology Matching - Volume 946, OM'12, pages 168-172, Aachen, DEU, 2012. CEUR-WS.org. Google Scholar
  9. Sven Hertling. Hertuda results for oaei 2012. In OM, 2012. Google Scholar
  10. Konstantinos Kotis, Alexandros G Valarakos, and George A Vouros. Automs: Automated ontology mapping through synthesis of methods. In Ontology Matching, page 96, 2006. Google Scholar
  11. Lorena Otero-Cerdeira and Francisco Javier Rodríguez-Martínez and Alma María Gómez-Rodríguez. Ontology matching: A literature review. Expert Syst. Appl., 42:949-971, 2015. Google Scholar
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