A ontology semantic similarity algorithm between user´s context ontology

This paper considers a context similarity algorithm based on ontology semantic which recommends commodities to users by the similarity between current user´s context and source context recorded. First, we divide the context ontology tree into many subtrees with subtree cutting algorithm. According to calculating the similarity of subtrees with the weight sum, we obtain the similarity between the source context and target context. Meanwhile, during calculating the similarity of subtrees, this paper allows for ontology semantic similarity, and adds the structure similarity degree algorithm on the basis of the old ontology similarity degree algorithm, which makes the result more accord with actual, and finally the experiment is verified.