Supporting ontology adaptation and versioning based on a graph of relevance. Issue 6 (1st November 2016)

• Record Type: Journal Article
• Authors: Sassi, Najla; Jaziri, Wassim; Alharbi, Saad
• Is Part Of: Journal of experimental & theoretical artificial intelligence. Volume 28:Issue 6(2016)
• Page Start: 1035
• Page End: 1059
• Publication Date: 2016-11-01
• Subjects: changing environment -- ontology -- adaptation -- versioning -- relevance, graph; Artificial intelligence -- Periodicals; 006.3
• DOI: 10.1080/0952813X.2015.1056239
• Languages: English
• ISSNs: 0952-813X

Abstract

Abstract : Ontologies recently have become a topic of interest in computer science since they are seen as a semantic support to explicit and enrich data-models as well as to ensure interoperability of data. Moreover, supporting ontology adaptation becomes essential and extremely important, mainly when using ontologies in changing environments. An important issue when dealing with ontology adaptation is the management of several versions. Ontology versioning is a complex and multifaceted problem as it should take into account change management, versions storage and access, consistency issues, etc. The purpose of this paper is to propose an approach and tool for ontology adaptation and versioning. A series of techniques are proposed to 'safely' evolve a given ontology and produce a new consistent version. The ontology versions are ordered in a graph according to their relevance. The relevance is computed based on four criteria: conceptualisation, usage frequency, abstraction and completeness. The techniques to carry out the versioning process are implemented in the Consistology tool, which has been developed to assist users in expressing adaptation requirements and managing ontology versions.