Ontology similarity measure algorithm based on KPCA and application in biology science


ABSTRACT:

Ontology is a model for knowledge storing and representation, which abstracts certain application field of the real world into a set of concepts and relationships among concepts. Hence, ontology is often used in information retrieval and search expanding. By virtue of its powerful usage, ontology similarity computation has widely used in medical science, biology science and chemical science(see Lambrix and Edberg2003, Mork and Bernstein 2004,Su andGulla 2004, and Guet al., 2004 for examples). As ontology used in chemical science and biology science, every vertex can be regard as a concept of ontology, measure the similarity of vertices using the information of ontology graph. Let G be an ontology graph corresponding to ontology O, the goal of ontology similarity measure is to find a similarity function Sim: V×V → +  ∪{0}which maps each pair of vertices to a real number. A populartechnology to yield optimal similarity between vertices on ontology is using a score function which maps ontology graph into a line and maps every vertex in graph into a real value. In this fashion, the similarity between vertices is transformed by measuring the difference of their corresponding real numbers. Certain efficient ontology learning algorithms can refer to Wang et al., 2010, Gao and Liang2011, Huang et al., 2011a, Huang et al., 2011b, Gao and Lan 2011, Gao and Gao 2012. Several theoretical analyses for ontology algorithm can refer toGao and Lan 2011, Gao and Xu 2012, Gao et al., 2012a, Gao et al., 2012b,Gao et al., 2013a,Gao et al., 2013b,Gao and Xu 2013, and Yan et al., 2013. In this paper, we present a new ontology algorithm for ontology similarity measuring using the technology of kernel principal component analysis. The organization of rest paper is as follows: we describe the ontology algorithm by virtue of kernel principal component analysis; then, experiment data is given to show that our new algorithms have high accurate in biology science.

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For more details to visit: http://www.jocpr.com/articles/ontology-similarity-measure-algorithm-based-on-kpca-and-application-in-biology-science.pdf

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