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Collaborative ontology engineering: a survey

Collaborative ontology engineering: a survey
Collaborative ontology engineering: a survey
Building ontologies in a collaborative and increasingly community-driven fashion has become a central paradigm of modern ontology engineering. This understanding of ontologies and ontology engineering processes is the result of intensive theoretical and empirical research within the Semantic Web community, supported by technology developments such as Web 2.0. Over 6 years after the publication of the first methodology for collaborative ontology engineering, it is generally acknowledged that, in order to be useful, but also economically feasible, ontologies should be developed and maintained in a community-driven manner, with the help of fully-fledged environments providing dedicated support for collaboration and user participation. Wikis, and similar communication and collaboration platforms enabling ontology stakeholders to exchange ideas and discuss modeling decisions are probably the most important technological components of such environments. In addition, process-driven methodologies assist the ontology engineering team throughout the ontology life cycle, and provide empirically grounded best practices and guidelines for optimizing ontology development results in real-world projects. The goal of this article is to analyze the state of the art in the field of collaborative ontology engineering. We will survey several of the most outstanding methodologies, methods and techniques that have emerged in the last years, and present the most popular development environments, which can be utilized to carry out, or facilitate specific activities within the methodologies. A discussion of the open issues identified concludes the survey and provides a roadmap for future research and development in this lively and promising field
101-131
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Luczak-Rösch, Markus
6cfe587f-e02c-48e8-b2b8-543952ab50a7
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Luczak-Rösch, Markus
6cfe587f-e02c-48e8-b2b8-543952ab50a7

Simperl, Elena and Luczak-Rösch, Markus (2014) Collaborative ontology engineering: a survey The Knowledge Engineering Review, 29, (1), pp. 101-131. (doi:10.1017/S0269888913000192).

Record type: Article

Abstract

Building ontologies in a collaborative and increasingly community-driven fashion has become a central paradigm of modern ontology engineering. This understanding of ontologies and ontology engineering processes is the result of intensive theoretical and empirical research within the Semantic Web community, supported by technology developments such as Web 2.0. Over 6 years after the publication of the first methodology for collaborative ontology engineering, it is generally acknowledged that, in order to be useful, but also economically feasible, ontologies should be developed and maintained in a community-driven manner, with the help of fully-fledged environments providing dedicated support for collaboration and user participation. Wikis, and similar communication and collaboration platforms enabling ontology stakeholders to exchange ideas and discuss modeling decisions are probably the most important technological components of such environments. In addition, process-driven methodologies assist the ontology engineering team throughout the ontology life cycle, and provide empirically grounded best practices and guidelines for optimizing ontology development results in real-world projects. The goal of this article is to analyze the state of the art in the field of collaborative ontology engineering. We will survey several of the most outstanding methodologies, methods and techniques that have emerged in the last years, and present the most popular development environments, which can be utilized to carry out, or facilitate specific activities within the methodologies. A discussion of the open issues identified concludes the survey and provides a roadmap for future research and development in this lively and promising field

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e-pub ahead of print date: 3 May 2013
Published date: January 2014
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 364532
URI: http://eprints.soton.ac.uk/id/eprint/364532
PURE UUID: efd709a0-c368-4a27-86f7-3f68a1c70277
ORCID for Elena Simperl: ORCID iD orcid.org/0000-0003-1722-947X

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Date deposited: 02 May 2014 13:15
Last modified: 18 Jul 2017 02:30

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Author: Elena Simperl ORCID iD
Author: Markus Luczak-Rösch

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