The FAIR data principles advocate for making scientific and research datasets 'Findable' and 'Accessible'. Yet, the sheer volume and diversity of these datasets present significant challenges. Despite advancements in data search technologies, techniques for representing search results are still traditional and inadequate, often returning extraneous results. To address these issues, we developed a knowledge graph based visual search application designed to enhance data search for Earth System Scientists. This application utilizes various chart widgets and a knowledge graph at the backend, connecting two disparate data repositories.

翻译：FAIR数据原则倡导使科学和研究数据集“可发现”与“可访问”。然而，这些数据集的庞大规模和多样性带来了重大挑战。尽管数据搜索技术已取得进展，但搜索结果的呈现方式仍较为传统且不足，常常返回无关结果。为解决这些问题，我们开发了一个基于知识图谱的可视化搜索应用，旨在增强地球系统科学家的数据搜索体验。该应用利用多种图表组件和后端知识图谱，连接了两个异构的数据存储库。