@inproceedings{betts-etal-2019-grapal,
title = "{G}rap{AL}: Connecting the Dots in Scientific Literature",
author = "Betts, Christine and
Power, Joanna and
Ammar, Waleed",
editor = "Costa-juss{\`a}, Marta R. and
Alfonseca, Enrique",
booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
month = jul,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P19-3025",
doi = "10.18653/v1/P19-3025",
pages = "147--152",
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 fills many informational needs expressed 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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%0 Conference Proceedings
%T GrapAL: Connecting the Dots in Scientific Literature
%A Betts, Christine
%A Power, Joanna
%A Ammar, Waleed
%Y Costa-jussà, Marta R.
%Y Alfonseca, Enrique
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F betts-etal-2019-grapal
%X 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 fills many informational needs expressed 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.
%R 10.18653/v1/P19-3025
%U https://aclanthology.org/P19-3025
%U https://doi.org/10.18653/v1/P19-3025
%P 147-152
Markdown (Informal)
[GrapAL: Connecting the Dots in Scientific Literature](https://aclanthology.org/P19-3025) (Betts et al., ACL 2019)
ACL
- Christine Betts, Joanna Power, and Waleed Ammar. 2019. GrapAL: Connecting the Dots in Scientific Literature. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 147–152, Florence, Italy. Association for Computational Linguistics.