Addressing Effective Hidden Web Search Using Iterative Deepening Search and Graph Theory

Addressing Effective Hidden Web Search Using Iterative Deepening Search and Graph Theory
复制标题

使用迭代深化搜索和图论解决有效的隐藏 Web 搜索

DOI：
10.1109/cit.2008.workshops.81
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发表时间：
2008
期刊：
2008 IEEE 8th International Conference on Computer and Information Technology Workshops
影响因子：
--
通讯作者：
Ho‐Jin Choi
Ho‐Jin Choi
中科院分区：
--
文献类型：
--
作者：
A. Ibrahim;S.A. Fahmi;S. I. Hashmi;Ho‐Jin Choi

文献摘要

被引文献

相似文献

Deep Web是指不能直接访问的WWW（World Wide Web）的隐藏部分。如何搜索隐藏的Web是WWW中的一个重要问题。为了解决这个问题，已经提出了几种技术。针对目前隐藏Web信息检索中存在的问题，提出了一种基于概率、迭代深化搜索和图论的解决方案。
Deep web refers to the hidden portion of the WWW (World Wide Web) which cannot be accessed directly. One of the important issues in the WWW is how to search the hidden Web. Several techniques have been proposed in order to address this issue. In this paper, we have surveyed the current problems of retrieving information from hidden Web and proposed a solution to solve these problems using probability, iterative deepening search and graph theory.