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Knowledge map as a decision support tool for expert finding in research-based organizations

机译:知识图谱作为研究型组织中专家发现的决策支持工具

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In a research organization, there are many decision making issues (such as employing a new member, finding some one who is expert in a filed and can take a role, defining areas of excellence and so on) that can be facilitated if the organization has a clear perception of what its human knowledge experts really know. Such knowledge can be clearly transferred to the decision makers of an organization by utilizing an informative knowledge map. A knowledge map is a visual representation of information which can be designed in a multiple level of details out of the knowledge assets of an organization. The main idea of this paper is to employ data mining approaches for creating the knowledge map in order to locate the experts and domains of their expertise in research-based organizations. In order to actualize the idea in this paper, a portion of UT-SAED (Faculty Members Research Management system) data has been used and a knowledge map has been automatically created out of a number of engineering areas in faculty of engineering, university of Tehran, Iran.
机译:在研究组织中,存在许多决策问题(例如聘用新成员,找到某个领域的专家并可以发挥作用,定义卓越领域等),这些问题可以在该组织的帮助下解决。对其人类知识专家真正了解的东西有清晰的认识。通过使用信息丰富的知识图谱,可以将此类知识清楚地传递给组织的决策者。知识图谱是信息的直观表示,可以从组织的知识资产中按多个详细级别进行设计。本文的主要思想是采用数据挖掘方法来创建知识图谱,以便在研究型组织中定位专家及其专业知识领域。为了实现本文中的想法,已使用了UT-SAED(教职员工研究管理系统)数据的一部分,并自动从德黑兰大学工程学院的多个工程领域中创建了知识图谱。 ,伊朗。

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