目前网络已经成为人们获得信息的主要来源。但是网络信息庞杂多样，包含健康有用的信息的同时也有着不良和无用的信息。如何保证信息的安全性以及从这海量的信息中迅速准确的找到用户所需要的信息已经成为研究的热点。通过运用改进的向量空间模型对不良信息进行过滤，并运用语义网技术建立计算机领域本体，针对该领域进行特定信息检索，通过该领域本体对用户的输入进行处理，从而提高查全率及查准率。%Now the network has become the main source of the information where people gain from. However there are various of net-work information, include healthy and helpful information, at the same time, also include the bad and useless information. How to protect the security and quickly and exactly find the user need from this vast information has become the hot research. This article use the im-prove vector space model to filter bad information and use the semantic web technology to build a computer ontology. Aim at this area to information retrieval, through this ontology to handle users' input, thus to improve the recall level and the precision rate.
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