支持语义检索的知识检索模型

A Model of Knowledge Retrieval Supporting Semantic Search

本文在语义网络本体模型基础上,利用语义分析和统计方法建立了支持语义检索的检索环境,并基于此环境提出了一种新的知识检索模型,该模型引入信息熵原理,在检索环境的支持下量化语义处理,有效地控制语义扩展过程,从而实现了兼顾查全查准且可控的知识检索过程.

Based on Ontology Model for the Semantic Web, this article builds a searching environment to support semantic search. In this essay we also propose introducing the method of semantic analysis and statistics into Information Retrieval, and put forward a new model of Knowledge Retrieval. In this model,we use the principle of Information Entropy to quantify the process of semantic analysis with the support of searching environment, and to control the process of semantic extension efficiently, therefore realize a controllable Knowledge Retrieval with high degree of recall and accuracy.