Paper Info
Title
Ontology evolution: a process-centric survey.
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.
Year
DOI
Venue
2015
10.1017/S0269888913000349
KNOWLEDGE ENGINEERING REVIEW
Field
DocType
Volume
Ontology (information science),Data science,Ontology alignment,Ontology-based data integration,Ontology,Process ontology,Computer science,Knowledge management,Semantic Web,Suggested Upper Merged Ontology,Upper ontology
Journal
30
Issue
ISSN
Citations 
1.0
0269-8889
45
PageRank 
References 
Authors
1.46
83
8
Name
Order
Citations
PageRank
Fouad Zablith123615.15
Grigoris Antoniou22401190.28
Mathieu d'Aquin31227106.53
Giorgos Flouris467851.45
Haridimos Kondylakis532536.63
Enrico Motta64216391.29
Dimitris Plexousakis72586326.38
Marta Sabou81604118.56