Agent dynamic cooperation based information retrieval

Kai Gao, Yongcheng Wang, Zhiqi Wang
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引用次数: 2

Abstract

We propose a dynamic cooperation model for different agents' message exchanging. Besides, we propose a new algorithm, which makes it easy to transform a traditional Boolean logical query statement into a matrix. This method allows a document might be retrieved in a clear Boolean view even it matches the query partially. On the base of them, we implement an agent-based selective information retrieval. Parallel crawlers make the prototype scalability and network-load reduction. The focused crawler makes it easy to find as many relevant pages and as few irrelevant pages as possible. Through experiments, we show the results.
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基于Agent动态协作的信息检索
提出了一种不同智能体信息交换的动态合作模型。此外,我们还提出了一种新的算法,使传统的布尔逻辑查询语句可以很容易地转化为矩阵。该方法允许在一个清晰的布尔视图中检索文档,即使它部分匹配查询。在此基础上,实现了基于agent的选择性信息检索。并行爬虫使原型具有可伸缩性并降低了网络负载。集中的爬虫可以很容易地找到尽可能多的相关页面和尽可能少的不相关页面。通过实验,给出了实验结果。
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