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Abstract
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Article Information:
Challenges Faced by Ontology Matching Techniques: Case Study of the OAEI Datasets
M. Yasser Chuttur
Corresponding Author: M. Yasser Chuttur
Submitted: 2011 January, 06
Accepted: 2011 February, 07
Published: 2011 March, 20 |
Abstract:
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The aim of this study is to review some of the most successful recent techniques in ontology
matching and to lay down pending challenges that need to be addressed in this area. Ontologies are essential
for the realization of the semantic web, which in turn relies on the ability of systems to identify and exploit
relationships that exist between and within ontologies. As ontologies can be used to represent different domains,
there is a high need for efficient ontology matching techniques that can allow information to be easily shared
between different heterogeneous systems. In this paper, six systems that obtained overall good performance in
the Ontology Alignment Evaluation Initiative (OAEI) for the year 2008 and the year 2009 are analyzed based
on their underlying techniques, datasets, and matching results. According to the analysis carried out, it is found
that although some systems work well for dataset representing a given domain, the same system does not
perform well for datasets representing other domains. To assist further research in this area, techniques that
work well for particular domains are highlighted and areas for cross-domain ontology matching that still require
attention are discussed with recommendations based on lessons learnt from the techniques described.
Key words: Alignment, mapping, ontology alignment evaluation initiative, ontology matching, semantic web, techniques,
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Cite this Reference:
M. Yasser Chuttur, . Challenges Faced by Ontology Matching Techniques: Case Study of the OAEI Datasets. Research Journal of Information Technology, (1): 33-42.
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ISSN (Online): 2041-3114
ISSN (Print): 2041-3106 |
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