An Intelligent Search Model and an Improved Matching Algorithm
Shi Qing, Gong Jun-peng · 2012
With development of semantic web technology, the intelligent and semantic exploration is becoming an important discussion to the research of search engine. This paper proposes a model of semantic search engine based on analysis of Semantic Web and ontology, and considering inheritance relationship between nodes, improves the concept of semantic distance and similarity matching algorithm. The results show that these optimizations improve the accuracy and expand the scope of application.