A Knowledge Graph Approach for Exploratory Search in Research Institutions

Tim Schopf, Nektarios Machner, Florian Matthes
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Abstract

Over the past decades, research institutions have grown increasingly and consequently also their research output. This poses a significant challenge for researchers seeking to understand the research landscape of an institution. The process of exploring the research landscape of institutions has a vague information need, no precise goal, and is open-ended. Current applications are not designed to fulfill the requirements for exploratory search in research institutions. In this paper, we analyze exploratory search in research institutions and propose a knowledge graph-based approach to enhance this process.
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研究机构探索性搜索的知识图谱方法
在过去的几十年里,研究机构日益增多,其研究成果也随之增加。这给研究人员了解研究机构的研究状况带来了巨大挑战。探索机构研究状况的过程对信息的需求是模糊的,没有精确的目标,而且是开放式的。目前的应用程序在设计上无法满足研究机构探索性搜索的要求。本文分析了研究机构中的探索式搜索,并提出了一种基于知识图谱的方法来加强这一过程。
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