Authors:
Emile Tawamba
1
;
Roger Nkambou
2
;
Bernabé Batchakui
1
and
Claude Tangha
1
Affiliations:
1
University of Yaoundé 1, Cameroon
;
2
UQAM, Canada
Keyword(s):
Ontology Engineering, Ontology Evolution, Integrity Constraints, Semantic Web.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Education and Training Issues
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Ontology Sharing and Reuse
;
Symbolic Systems
Abstract:
Ontology is becoming the key knowledge capture structure in many domains. It plays a very important role in the area of semantic web and is widely used in multiple fields including Intelligent Tutoring Systems (ITS) and e-Learning. Ontologies are intensively used in domain knowledge modeling in specific areas which can evolve. However, current tools used to implement ontologies fail to provide functions to adequately ensure their evolution. To deal with this issue, we have developed an ontology evolution management system named «MS-ONTO», founded on a formal description of evolution operators. MS-ONTO allows the preservation of both the internal and external integrity constraints during the ontology evolution: the external integrity meaning the preservation of its usage while internal integrity means its conformity to the constraints (implicit or explicit) related to the ontology model itself. MS-ONTO should be integrated as a plug-in in existing ontology editors such as NeOn Toolkit
and Protégé.
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