Web文本挖掘技术研究

作为从浩瀚的Ｗｅｂ信息资源中发现潜在的、有价值知识的一种有效技术，Ｗｅｂ挖掘正悄然兴起，倍受关注，目前，Ｗｅｂ挖掘的研究正处于发我统一的结论，需要国内外学者在理论上开展更多的讨论，同时，Ｗｅｂ挖掘系统的开发对其研究也将起到很大推进作用，首先探讨了Ｗｅｂ挖掘的有关理论，从Ｗｅｂ挖掘的定义、Ｗｅｂ挖掘与Ｗｅｂ信息检索的关系、Ｗｅｂ信息检索的关系、Ｗｅｂ挖掘任务的分类与功能等方面加以阐述，然后重点分析了

RESEARCH ON WEB TEXT MINING

With the flood of information on the Web, Web mining is a new research issue which draws great interest from many communities. Currently, there is no agreement about Web mining yet. It needs more discussion among scientists in order to define what it is exactly. Meanwhile, the development of Web mining system will promote its research in turn. In this paper, a systemic discussion about the principle of Web mining is presented, including the definition, the relationship between information mining and retrieval on the Web, the taxonomy and function. Then the methods of text mining on the Web are discussed in detail and a prototype of Web text mining system WebMiner is introduced. WebMiner is a multi agent system which combines text mining and multi dimension text analysis in order to help user in mining HTML documents on the Web efficiently and effectively.