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Ontology Evolution: State of the Art and Future Directions

Ontology Evolution: State of the Art and Future Directions
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Author(s): Rim Djedidi (Supélec – Campus de Gif, France) and Marie-Aude Aufaure (MAS Laboratory, France)
Copyright: 2010
Pages: 29
Source title: Ontology Theory, Management and Design: Advanced Tools and Models
Source Author(s)/Editor(s): Faiez Gargouri (Higher Institute of Informatics and Multimedia of Sfax, Tunisia) and Wassim Jaziri (Higher Institute of Informatics and Multimedia of Sfax, Tunisia)
DOI: 10.4018/978-1-61520-859-3.ch008

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Abstract

Ontologies evolve continuously throughout their lifecycle to respond to different change requirements. Several problems emanate from ontology evolution: capturing change requirements, change representation, change impact analysis and resolution, change validation, change traceability, change propagation to dependant artifacts, versioning, etc. The purpose of this chapter is to gather research and current developments to manage ontology evolution. The authors highlight ontology evolution issues and present a state-of-the-art of ontology evolution approach by describing issues raised and the ontology model considered (ontology representation language), and also the ontology engineering tools supporting ontology evolution and maintenance. Furthermore, they sum up the state-of-the-art review by a comparative study based on general characteristics, evolution functionalities supported, and specificities of the existing ontology evolution approaches. At the end of the chapter, the authors discuss future and emerging trends.

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