TY - JOUR
T1 - Ontology evolution
T2 - A process-centric survey
AU - Zablith, Fouad
AU - Antoniou, Grigoris
AU - D'Aquin, Mathieu
AU - Flouris, Giorgos
AU - Kondylakis, Haridimos
AU - Motta, Enrico
AU - Plexousakis, Dimitris
AU - Sabou, Marta
PY - 2015/1/1
Y1 - 2015/1/1
N2 - 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.
AB - 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.
KW - Ontology
KW - Natural language processing systems
KW - Information systems
UR - http://www.scopus.com/inward/record.url?scp=84919821920&partnerID=8YFLogxK
U2 - 10.1017/S0269888913000349
DO - 10.1017/S0269888913000349
M3 - Review article
AN - SCOPUS:84919821920
VL - 30
SP - 45
EP - 75
JO - Knowledge Engineering Review
JF - Knowledge Engineering Review
SN - 0269-8889
IS - 1
ER -