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Ontology evolution: a process-centric survey

Published online by Cambridge University Press:  28 August 2013

Fouad Zablith ,
Grigoris Antoniou ,
Mathieu d'Aquin ,
Giorgos Flouris ,
Haridimos Kondylakis ,
Enrico Motta ,
Dimitris Plexousakis  and
Marta Sabou
Fouad Zablith
Affiliation:
Olayan School of Business, American University of Beirut, PO Box 11-0236, Riad El Solh, 1107 2020, Beirut, Lebanon; e-mail: [email protected]
Grigoris Antoniou
Affiliation:
Institute of Computer Science, FORTH, PO Box 1385, GR 71110, Heraklion, Greece; e-mail: [email protected], [email protected], [email protected], [email protected]
Mathieu d'Aquin
Affiliation:
Knowledge Media Institute, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom; e-mail: [email protected], [email protected]
Giorgos Flouris
Affiliation:
Institute of Computer Science, FORTH, PO Box 1385, GR 71110, Heraklion, Greece; e-mail: [email protected], [email protected], [email protected], [email protected]
Haridimos Kondylakis
Affiliation:
Institute of Computer Science, FORTH, PO Box 1385, GR 71110, Heraklion, Greece; e-mail: [email protected], [email protected], [email protected], [email protected]
Enrico Motta
Affiliation:
Knowledge Media Institute, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom; e-mail: [email protected], [email protected]
Dimitris Plexousakis
Affiliation:
Institute of Computer Science, FORTH, PO Box 1385, GR 71110, Heraklion, Greece; e-mail: [email protected], [email protected], [email protected], [email protected]
Marta Sabou
Affiliation:
Department of New Media Technology, MODUL University Vienna, Am Kahlenberg 1, 1190 Vienna, Austria; e-mail: [email protected]
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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.

Type
Articles
Information
The Knowledge Engineering Review , Volume 30 , Issue 1 , January 2015 , pp. 45 - 75
Copyright
Copyright © Cambridge University Press 2013 

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