【作者】 陈先；

【导师】 张国印；

【作者基本信息】 哈尔滨工程大学 ， 计算机应用技术， 2003， 硕士

【摘要】 搜索引擎作为互联网上最主要的信息搜索工具，在各个领域都已得到广泛应用。然而，由于网络信息量迅猛增加和网络信息组织的无序性，传统搜索引擎已经无法满足人们对信息服务个性化、智能化的需求。针对以上问题，本文提出了一个智能搜索引擎的框架结构并对其中涉及的若干问题进行了详细的阐述。 首先，本文介绍了该智能搜索引擎的搜索子系统，搜索子系统可以完成对WWW网络资源、BBS网络资源、Newsgroup网络资源的搜索，同时也支持智能元搜索。其中对于BBS网络资源的搜索在现有的搜索引擎中还很少见，这是对该领域的一次有益的探索。由于该搜索子系统的搜索速度快、范围广，已基本能满足用户对信息检索快速、全面的要求。 接下来，本文介绍了一种基于语义网络的概念检索的实现方案，从而使本搜索引擎实现了概念层次的检索，突破了关键词检索局限于形式的固有缺陷。 最后介绍了一种我们提出的基于语句权重和遗传算法的文件摘要方法，该方法从本质上说也是一种基于文件集的摘要方法。实验结果表明，该摘要方法简单实用，基本上能够满足搜索引擎中对于网页文本的摘要需求。更多还原

【Abstract】 As a main kind of method to retrieve information on Internet, search engine has been used in many fields. But the traditional search engine cannot meet people’s demands on intelligent and personalized information service. We try to develop a system framework of intelligent search engine to solve these problems, at the same time some problems involved are expounded.First, the paper provides an overview of this intelligent search engine’s searching sub-system, and with a meta-search module inside the searching sub-system can search on WWW, BBS and Newsgroup. And searching on BBS, which is not a common technique today, is a helpful experiment in this field. Because of the searching sub-system’s better performance on search, it can meet users’ demands on searching faster and wider.Second, this paper focuses on an approach of concept-based information retrieval system which is based on semantic linguistic network of concepts. Concept-based information retrieval is search for information objects based on their meaning rather than on the presence of the keywords in the object. So it is a new and promising way of improving search on the web.Finally, we propose a text summarization method which is based on weight of sentences and genetic algorithm, and it is also a corpus-based approach. The experimental results indicate that this method is good enough to summarize text of the web pages.更多还原