基于Web的信息检索技术综述

Overview of Information Retrieval Technology for Web

随着信息技术的发展,特别是Web的不断普及和应用,Web上的信息飞速增长,形成了巨大的信息资源。因此,如何从巨量的信息中快速有效地提取出所需的信息,成为迫切需要解决的问题。文章分别介绍了几种传统的信息检索模型和基于潜在语义分析的信息检索模型,以及自动问答系统,并在多方面对它们进行比较,最后展望了问答系统的应用前景。

With the development of information technology, especially the widespread use of Web, information on Web increases rapidly and becomes a huge information resource. In the meanwhile, such abundant information makes it an urgent problem： how to extract useful content rapidly and efficiently from information resources. This paper introduces several traditional information retrieval models and latent semantic analysis technique, and then gives a brief description of the question-answering system. Further more, this paper compares these models from some certain aspects, and analyzes possible applications of question-answering system in the future.