License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.SLATE.2022.8
URN: urn:nbn:de:0030-drops-167547
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/16754/
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Gomes, João Rodrigues ; Gançarski, Alda Lopes ; Henriques, Pedro Rangel

OMT, a Web-Based Tool for Ontology Matching

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OASIcs-SLATE-2022-8.pdf (2 MB)

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.

BibTeX - Entry

@InProceedings{gomes_et_al:OASIcs.SLATE.2022.8,
  author =	{Gomes, Jo\~{a}o Rodrigues and Gan\c{c}arski, Alda Lopes and Henriques, Pedro Rangel},
  title =	{{OMT, a Web-Based Tool for Ontology Matching}},
  booktitle =	{11th Symposium on Languages, Applications and Technologies (SLATE 2022)},
  pages =	{8:1--8:12},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-245-7},
  ISSN =	{2190-6807},
  year =	{2022},
  volume =	{104},
  editor =	{Cordeiro, Jo\~{a}o and Pereira, Maria Jo\~{a}o and Rodrigues, Nuno F. and Pais, Sebasti\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/16754},
  URN =		{urn:nbn:de:0030-drops-167547},
  doi =		{10.4230/OASIcs.SLATE.2022.8},
  annote =	{Keywords: Ontology, Ontology Matching, Ontology Alignment}
}

Keywords: Ontology, Ontology Matching, Ontology Alignment
Collection: 11th Symposium on Languages, Applications and Technologies (SLATE 2022)
Issue Date: 2022
Date of publication: 27.07.2022

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