GrapAL：连接科学文献中的点
GrapAL: Connecting the Dots in Scientific Literature
摘要：
我们介绍了GrapAL（学术文献图形数据库），一个多功能的工具，用于探索和调查的知识库的科学文献，这是半自动构建使用自然语言处理方法。GrapAL满足了研究人员要求的各种用例和信息需求。GrapAL的核心是一个Neo4j图形数据库，具有直观的模式和简单的查询语言。在本文中，我们描述了GrapAL的基本要素，如何使用它，以及几个用例，例如寻找给定主题的专家进行同行评审，发现生物医学实体和计算基于引用的指标之间的间接联系。我们开源了演示代码，以帮助其他研究人员开发基于GrapAL的应用程序。
英文摘要：
We introduce GrapAL (Graph database of Academic Literature), a versatile tool for exploring and investigating a knowledge base of scientific literature, that was semi-automatically constructed using NLP methods. GrapAL satisfies a variety of use cases and information needs requested by researchers. At the core of GrapAL is a Neo4j graph database with an intuitive schema and a simple query language. In this paper, we describe the basic elements of GrapAL, how to use it, and several use cases such as finding experts on a given topic for peer reviewing, discovering indirect connections between biomedical entities and computing citation-based metrics. We open source the demo code to help other researchers develop applications that build on GrapAL.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
