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首页> 外文会议>International Conference on Universal Digital Library(ICUDL2005); 20051031-1102; Hangzhou(CN) >Analysis of the Grid Agent Method in Information Retrieval Field
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Analysis of the Grid Agent Method in Information Retrieval Field

机译：信息检索领域的网格Agent方法分析

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摘要

Information retrieval has changed considerably in recent years with the expansion of the World Wide Web (WWW). With powerful workstations and parallel processing technology, efficiency is not a bottleneck. But still many problems exist in information retrieval (IR), the most important ones are how to understand the user's needs and how to process user queries with high performance. This article first hopes to explain the model, which includes three kinds of agents: Grid service agent, service request agent and Grid space manager. The main actions involved in Grid information service discovery process are registry, discovery, and access. Through these actions, the Grid space manager will find out the suitable services. Secondly, to implement the adaptivity of the Grid agent, we assume that every Grid agent should remember the success and quality of the former cases by its repository and, so that the agent can gain experience of user's preference. The method which how the Grid agent is able to seek for the information automatically and precisely by its repository and the method of AP (Artificial Psychology) is also emphasized. At last, we conclude highlighting some directions of future research, which are needed in order to understand the formal characteristics of Information Retrieval better.
机译：近年来，随着万维网（WWW）的扩展，信息检索已发生了巨大变化。凭借强大的工作站和并行处理技术，效率不是瓶颈。但是信息检索（IR）仍然存在许多问题，最重要的问题是如何理解用户的需求以及如何高效地处理用户查询。本文首先希望解释该模型，该模型包括三种代理：网格服务代理，服务请求代理和网格空间管理器。网格信息服务发现过程涉及的主要动作是注册表，发现和访问。通过这些操作，网格空间管理器将找到合适的服务。其次，为了实现Grid Agent的适应性，我们假设每个Grid Agent都应该通过其存储库记住前一种情况的成功和质量，以便该Agent可以获取用户的使用偏好。还强调了网格代理如何通过其存储库自动而精确地寻找信息的方法以及AP（人工心理学）的方法。最后，我们总结了突出一些未来研究的方向，这些方向是更好地理解信息检索的形式特征所必需的。

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