利用学术数据从科学研究网络中确定潜在的研究合作

Y. Garay, Monika Akbar, A. Gates
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引用次数: 3

摘要

确定研究人员的研究领域是一项困难的任务,因为信息可能存储在不同层次的抽象中;然而,这样的任务对于发现一个机构内部潜在的研究合作是必不可少的。这项工作描述了一种创建科学研究网络的方法,该网络通过分析从数字图书馆和对领域本体的查询中获得的数据,从研究人员的学术数据中确定主题,以及主题之间的关系。这些关系是用来联系研究人员的。这种网络有可能揭示一个机构内不同主题和研究人员之间的协同作用。它也将显示较少探索的研究领域,可以作为进一步研究的目标。海报将描述该方法以及如何将其应用于大学的生物医学领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards identifying potential research collaborations from scientific research networks using scholarly data
Identifying research areas of researchers is a difficult task because of the various levels of abstraction in which information may be stored; however, such a task is essential for detecting potential research collaborations within an institution. This work describes an approach to create a scientific research network with topics identified from the researchers' scholarly data and relations between topics by analyzing data harvested from digital libraries and queries to domain ontologies. The relations are used to connect the researchers. Such networks have the potential for revealing the synergy between different topics and researchers within an institution. It will also show less explored research areas that can be targeted for further study. The poster will describe the approach and how it was applied to a biomedical domain at the university.
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