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arXiv · 1902.05170

GrapAL: Connecting the Dots in Scientific Literature

Christine Betts·Joanna Power·Waleed Ammar
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Abstract

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.

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Christine Betts, Joanna Power, Waleed Ammar. 2019-05-19. GrapAL: Connecting the Dots in Scientific Literature. https://arxiv.org/abs/1902.05170

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