Essentials in Ontology Engineering: Methodologies, Languages, and Tools

Suárez-Figueroa, Mari Carmen and García-Castro, Raúl and Villazón-Terrazas, B. and Gómez-Pérez, A. (2011). Essentials in Ontology Engineering: Methodologies, Languages, and Tools. In: "2nd Workshop organized by the eeb data models community- CIB", 26/10/2011 - 28/10/2011, Sophia Antipolis, Francia. pp. 9-21.

Description

Title: Essentials in Ontology Engineering: Methodologies, Languages, and Tools
Author/s:
  • Suárez-Figueroa, Mari Carmen
  • García-Castro, Raúl
  • Villazón-Terrazas, B.
  • Gómez-Pérez, A.
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2nd Workshop organized by the eeb data models community- CIB
Event Dates: 26/10/2011 - 28/10/2011
Event Location: Sophia Antipolis, Francia
Title of Book: Proceedings of the 2nd Workshop organized by the eeb data models community- CIB conference
Date: 2011
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In the beginning of the 90s, ontology development was similar to an art: ontology developers did not have clear guidelines on how to build ontologies but only some design criteria to be followed. Work on principles, methods and methodologies, together with supporting technologies and languages, made ontology development become an engineering discipline, the so-called Ontology Engineering. Ontology Engineering refers to the set of activities that concern the ontology development process and the ontology life cycle, the methods and methodologies for building ontologies, and the tool suites and languages that support them. Thanks to the work done in the Ontology Engineering field, the development of ontologies within and between teams has increased and improved, as well as the possibility of reusing ontologies in other developments and in final applications. Currently, ontologies are widely used in (a) Knowledge Engineering, Artificial Intelligence and Computer Science, (b) applications related to knowledge management, natural language processing, e-commerce, intelligent information integration, information retrieval, database design and integration, bio-informatics, education, and (c) the Semantic Web, the Semantic Grid, and the Linked Data initiative. In this paper, we provide an overview of Ontology Engineering, mentioning the most outstanding and used methodologies, languages, and tools for building ontologies. In addition, we include some words on how all these elements can be used in the Linked Data initiative.

More information

Item ID: 12007
DC Identifier: http://oa.upm.es/12007/
OAI Identifier: oai:oa.upm.es:12007
Deposited by: Memoria Investigacion
Deposited on: 18 Sep 2012 10:08
Last Modified: 21 Apr 2016 11:11
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