A layered model for building ontology translation systems

Corcho, Oscar and Gómez-Pérez, A. (2005). A layered model for building ontology translation systems. "International Journal on Semantic Web and Information Systems", v. 1 (n. 2); pp. 22-48. ISSN 1552-6283. https://doi.org/10.4018/978-1-59904-426-2.

Description

Title: A layered model for building ontology translation systems
Author/s:
  • Corcho, Oscar
  • Gómez-Pérez, A.
Item Type: Article
Título de Revista/Publicación: International Journal on Semantic Web and Information Systems
Date: June 2005
ISSN: 1552-6283
Volume: 1
Subjects:
Freetext Keywords: oeg, ontologies; semiotics; transformation languages; transformation models
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
UPM's Research Group: Ontology Engineering Group – OEG
Creative Commons Licenses: None

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Abstract

In this paper we present a model for building ontology translation systems between ontology languages and/or ontology tools, where translation decisions are defined at four different layers: lexical, syntax, semantic, and pragmatic. This layered approach provides a major contribution to the current state of the art in ontology translation, since it makes ontology translation systems easier to build and understand and, consequently, to maintain and reuse. As part of this model, we propose a method that guides in the process of developing ontology translation systems according to this approach. The method identifies four main activities: feasibility study, analysis of source, and target formats, design, and implementation of the translation system, with their decomposition in tasks, and recommends the techniques to be used inside each of them.

More information

Item ID: 5637
DC Identifier: http://oa.upm.es/5637/
OAI Identifier: oai:oa.upm.es:5637
DOI: 10.4018/978-1-59904-426-2
Official URL: http://www.igi-global.com/Bookstore/TitleDetails.aspx?TitleId=895&DetailsType=Description
Deposited by: Dr Oscar Corcho
Deposited on: 20 Jan 2011 12:42
Last Modified: 20 Apr 2016 14:24
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