Ontology evolution: A process-centric survey

Fouad Zablith, Grigoris Antoniou, Mathieu D'Aquin, Giorgos Flouris, Haridimos Kondylakis, Enrico Motta, Dimitris Plexousakis, Marta Sabou

Research output: Contribution to journalReview articlepeer-review

122 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)45-75
Number of pages31
JournalKnowledge Engineering Review
Issue number1
Early online date28 Aug 2013
Publication statusPublished - 1 Jan 2015
Externally publishedYes


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