In this paper, we propose Semantic Similarity calculation measurement using INformation contents on EdGEs of ontology (SSINEGE) which is a hybrid edgeand information contents-based methodology. SSINEGE is devised to solve the limitation of the applying the same weighted edges by edgebased similarity. So, SSINEGE adopts information-contents theory to calculate the varied weights of edges. The va...

Semantic similarity is a central concept that extends across numerous fields such as artificial intelligence, natural language processing, cognitive science and psychology. Accurate measurement of semantic similarity between words is essential for various tasks such as, document clustering, information retrieval, and synonym extraction. We propose a novel model of semantic similarity using the ...

In order to improve the accuracy of short text similarity calculation, this paper presents the idea that use the history of short text messages to construct semantic feature space, then use the vector in semantic feature space to represent short text and do semantic extension, and finally calculate the short text similarity of corresponding vector in the semantic feature space. This method can ...