Statistical Analysis for Ontology Algorithm

Wei Gao, tianwei xu, yun gao

Abstract


Ontology is an important topic in computer science. It has many applications in various fields. Ontology similarity computation plays a critical role in practical implementations. In this paper, we use an idea of applying scoring functions for ontology function from learning theory in the implementation of ontology similarity computation. Some statistical characters are given.

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