Ontology Alignment by Using Discrete Cuckoo Search

KIPS Transactions on Software and Data Engineering, Vol. 3, No. 12, pp. 523-530, Dec. 2014
10.3745/KTSDE.2014.3.12.523, Full Text:


Ontology alignment is the way to share and reuse of ontology knowledge. Because of the ambiguity of concept, most ontology alignment systems combine a set of various measures and complete enumeration to provide the satisfactory result. However, calculating process becomes more complex and required time increases exponentially since the number of concept increases, more errors can appear at the same time. Lately the focus is on meta-matching using the heuristic algorithm. Existing meta-matching system tune extra parameter and it causes complex calculating, as a consequence, the results in the various data of specific domain are not good performed. In this paper, we propose a high performance algorithm by using DCS that can solve ontology alignment through simple process. It provides an efficient search strategy according to distribution of Levy Flight. In order to evaluate the approach, benchmark data from the OAEI 2012 is employed. Through the comparison of the quality of the alignments which uses DCS with state of the art ontology matching systems.

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Cite this article
[IEEE Style]
J. Ha, H. J. Jung and D. K. Baik, "Ontology Alignment by Using Discrete Cuckoo Search," KIPS Transactions on Software and Data Engineering, vol. 3, no. 12, pp. 523-530, 2014. DOI: 10.3745/KTSDE.2014.3.12.523.

[ACM Style]
Jun Ha, Hyun Jun Jung, and Doo Kwon Baik. 2014. Ontology Alignment by Using Discrete Cuckoo Search. KIPS Transactions on Software and Data Engineering, 3, 12, (2014), 523-530. DOI: 10.3745/KTSDE.2014.3.12.523.