Study on an Intelligent Search Method Based on Semantic Similarity
Gong Yu · Heilongjiang Science · 2010
This paper provided a kind of intelligent search method based on semantic similarity in order to improve accuracy of information contents which search users really care about.First,the design and achievement of ontology library were carried out;second,the design of inference engine was built;finally,the ontology matching algorithm of semantic similarity was provided,in order that the contents concerned by users would be searched.The results showed that this search method was more accurate and its application was wider compared with the present common search method which was based on the concepts-weights vectors.