An Ontology Based Information Retrieval System

Abstract

Based on Ontology Model for the Semantic Web, this paper proposed a new Information Retrieval System. The system combined a new vector space model based on the concept semantic retrieval and retrieval. Based on the factors like semantic coincidence degree, the concept in the concept semantic model was divided into upper-lower relationship and non-upper-lower relationship for calculating the similarity value between semantic concepts. The system also introduced the Information-Gain, which effectively controlled the semantic extension. The experiment shows that the system utilized the concept semantic information fully and the computation result was reasonable.