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Ontology evolution: a process-centric survey

Zablith, Fouad; Antoniou, Grigoris ; d'Aquin, Mathieu; Flouris, Giorgos ; Kondylakis, Haridimos and Motta, Enrico (2015). Ontology evolution: a process-centric survey. The Knowledge Engineering Review, 30(1) pp. 45–75.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1017/S0269888913000349
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Abstract

Ontology evolution aims at maintaining an ontology up to date with respect to changes in the domain that it models or novel requirements of information systems that it enables. The recent industrial adoption of Semantic Web techniques, which rely on ontologies, has led to the increased importance of the ontology evolution research. Typical approaches to ontology evolution are designed as multiple-stage processes combining techniques from a variety of fields (e.g., natural language processing and reasoning). However, the few existing surveys on this topic lack an in-depth analysis of the various stages of the ontology evolution process. This survey extends the literature by adopting a process-centric view of ontology evolution. Accordingly, we first provide an overall process model synthesized from an overview of the existing models in the literature. Then we survey the major approaches to each of the steps in this process and conclude on future challenges for techniques aiming to solve that particular stage.

Item Type: Journal Item
Copyright Holders: 2013 Cambridge University Press
ISSN: 1469-8005
Project Funding Details:
Funded Project NameProject IDFunding Body
PlanetData NoEICT-2009.3.4, 257641EU
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 39267
Depositing User: Kay Dave
Date Deposited: 14 Jan 2014 17:04
Last Modified: 18 Nov 2016 11:12
URI: http://oro.open.ac.uk/id/eprint/39267
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