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.

翻译：过去几十年间，研究机构规模持续扩大，其科研成果数量亦随之激增。这给试图了解机构研究格局的研究人员带来了重大挑战。探索机构研究格局的过程存在信息需求模糊、无精确目标且具有开放性的特点。现有应用未专门设计用于满足研究机构中探索式搜索的需求。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增强这一过程。