Ontology Evolution: A Process Centric Survey

Year: 
2013
Published in: 
The Knowledge Engineering Review
Authors: 
Fouad Zablith, Grigoris Antoniou, Mathieu D'Aquin, Giorgos Flouris, Haridimos Kondylakis, Enrico Motta, Dimitris Plexousakis and Marta Sabou
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 SemanticWeb 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 elds (e.g., natural language processing and reasoning). However, the few existing surveys on this topic lack an indepth 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.
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