An Ontology Based Information Retrieval System

Zhang Feng
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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.
基于本体的信息检索系统
基于语义Web的本体模型,提出了一种新的信息检索系统。该系统结合了一种新的基于概念语义检索和检索的向量空间模型。基于语义符合度等因素,将概念语义模型中的概念分为上下关系和非上下关系,计算语义概念之间的相似度值。系统还引入了信息增益,有效地控制了语义扩展。实验表明,该系统充分利用了概念语义信息,计算结果合理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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