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P2P BASED INFORMATION RETRIEVAL ON RESEARCH SUPPORT SYSTEM PAPITS

机译:基于P2P的研究支持系统API信息检索

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We have developed a research activity support system for universities called Papits. This system can be used to find information and/or person by keywords and a "Know-Who" search mechanism. Information sources in Papits are distributed because the computers of members act as information sources. To find relevant information and people from such environment, a method for finding appropriate information sources is necessary. Peer-to-peer(P2P) technologies make it possible us to find information from massively distributed information sources. For example, Napster and Gnutella can be used to find music files over the Internet without centralized servers storing music files. However, Napster and Gnutella only provide very simple music search functionalities, which are not enough to find research information and/or peo-ple. We introduce thesaurus as characteristics of information sources. Our assumption is that thesaurus of information sources can be used to characterize the information sources. Terms used in documents in a source differ from one another and the meanings of a term differ depending on the situation in which the term is used. Therefore the difference means a characteristic of the source. In this paper, we propose an algorithm for evaluating a usefulness of a source for a query based on a thesaurus. We will also show an experimental result, which indicates that our method is effective for selecting appropriate sources from distributed information sources.
机译:我们为大学开发了一个名为Papits的研究活动支持系统。该系统可用于通过关键字和“知道谁”搜索机制来查找信息和/或人。 Papits中的信息源是分布式的,因为成员的计算机充当信息源。为了从这样的环境中找到相关的信息和人员,寻找合适的信息源的方法是必要的。点对点(P2P)技术使我们能够从大规模分布的信息源中查找信息。例如,Napster和Gnutella可用于通过Internet查找音乐文件,而无需集中式服务器来存储音乐文件。但是,Napster和Gnutella仅提供非常简单的音乐搜索功能,不足以找到研究信息和/或人。我们介绍同义词库作为信息源的特征。我们的假设是信息源同义词库可用于表征信息源。来源中的文档中使用的术语彼此不同,并且术语的含义根据使用该术语的情况而不同。因此,差异意味着源的特性。在本文中,我们提出了一种基于词库来评估查询源有效性的算法。我们还将显示一个实验结果,表明我们的方法对于从分布式信息源中选择适当的源是有效的。

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