A Note on Optimal Function for Similarity Measure in Ontology Application

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Abstract:

Ontology similarity calculation and ontology mapping are important research topics in information retrieval. One method for ontology similarity measure is using multi-dividing approach. Assume that the notation and terminology used but undefined in this paper can be found in [4] and [5]. We show that the assumption of strict ordering of xi*can be relaxed to allow some ties in the likelihood ratio. The same proof remains true if we consider equivalence classes defined by the likelihood ratio and relabel xi* as its equivalence class denoted by [xi*].

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967-971

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] P. Lambrix, and A. Edberg, "Evaluation of ontology tools in bioinformatics", In: Paci.c Symposium on Biocomputing, 2003, pp.529-600 .

DOI: 10.1142/9789812776303_0055

Google Scholar

[2] A. Bouzeghoub, and A. Elbyed, Ontology mapping for web-based educational systems interoperability, Interoperability in Business Information Systems, vol.1, pp.73-84, 2006.

Google Scholar

[3] X. Su, and J.A. Gulla, "Semantic enrichment for ontology mapping", in Proc.The 9th International Conference to Information Systems (NLDB). 2004, pp.217-228.

Google Scholar

[4] W. Gao, T. Xu, "Characteristics of optimal function for ontology similarity measure via multi-dividing,". JNW. 2012, 7(8), pp.1251-1259.

DOI: 10.4304/jnw.7.8.1251-1259

Google Scholar

[5] K. Uematsu, Y. Lee, "On theoretically optimal ranking functions in bipartite ranking," unpublished.

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