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2014 (Vol. 7, Issue: 13)
Article Information:

A Comparative Study on Ontology Development Methodologies towards Building Semantic Conflicts Detection Ontology for Heterogeneous Web Services

Ibrahim Ahmed Al-Baltah, Abdul Azim Abdul Ghani, Wan Nurhayati Wan Ab. Rahman and Rodziah Atan
Corresponding Author:  Ibrahim Ahmed Al-Baltah 

Key words:  Ontology development life cycle, ontology engineering, semantic conflicts detection, semantic interoperability, , ,
Vol. 7 , (13): 2674-2679
Submitted Accepted Published
July 17, 2013 July 31, 2013 April 05, 2014
Abstract:

Semantic conflicts detection is considered to be one of the essential steps that should be carried out effectively, in order to pave the way towards establishing semantic interoperability between heterogeneous Web services. To achieve that, ontology plays the backbone of the detection process, which required to be implemented in a high quality manner. However, choosing a methodology to build this ontology is very difficult, since a considerable number of methodologies have been emerged to guide the ontology development process. Therefore, this study aims at reviewing and comparing the most accepted and used methodologies, with the aim of choosing an effective methodology from ontology engineering perspective to be recommended and used for building semantic conflicts detection ontology. Furthermore, to provide some useful insights for both theoretical and practical purposes to help ontology developers to choose the right methodology and to advance the state of the art. The comparison was performed against the common ontology development life cycle. The result of this survey and comparison recommend a methodology called METHONTOLOGY to be used for implementing semantic conflicts detection ontology.
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  Cite this Reference:
Ibrahim Ahmed Al-Baltah, Abdul Azim Abdul Ghani, Wan Nurhayati Wan Ab. Rahman and Rodziah Atan, 2014. A Comparative Study on Ontology Development Methodologies towards Building Semantic Conflicts Detection Ontology for Heterogeneous Web Services.  Research Journal of Applied Sciences, Engineering and Technology, 7(13): 2674-2679.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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