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An Agent Based Approach to Finding Expertise

机译:基于Agent的专业知识查找方法

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摘要

In many organisations people need to locate colleagues with knowledge and information to resolve a problem. Computer based systems that assist users with finding such expertise are increasingly important to organizations and scientific communities. In this paper we discuss the development of an agent based expertise finder (EF) suitable for use within an academic research environment. A key feature of this work is that the EF returns both recommended contacts and supporting documentation. The EF bases its results on information held within the organisation, for example publications, human resource records and not on CVs or user maintained records. The recommendations are presented to the user with due regard to the social context, and are supported by the documents used to make the recommendation. The technology used allows the development of distributed, interchangeable agents that use real time data to find expertise. It is our intention to use this approach within manufacturing and other knowledge intensive organisations.
机译:在许多组织中,人们需要找到具有知识和信息的同事来解决问题。协助用户找到此类专业知识的基于计算机的系统对组织和科学界越来越重要。在本文中,我们讨论了适合在学术研究环境中使用的基于代理的专业知识发现器(EF)的开发。这项工作的主要特点是EF会同时返回推荐的联系人和支持文档。 EF的结果基于组织内的信息,例如出版物,人力资源记录,而不基于简历或用户维护的记录。推荐是在适当考虑社会背景的情况下呈现给用户的,并得到用于推荐的文档的支持。所使用的技术允许开发使用实时数据来查找专业知识的分布式可互换代理。我们打算在制造业和其他知识密集型组织中使用这种方法。

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