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A Tool for Researchers: Querying Big Scholarly Data Through Graph Databases

Conference paper
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 11908)

Abstract

We demonstrate GraphDBLP, a tool to allow researchers for querying the DBLP bibliography as a graph. The DBLP source data were enriched with semantic similarity relationships computed using word-embeddings. A user can interact with the system either via a Web-based GUI or using a shell-interface, both provided with three parametric and pre-defined queries. GraphDBLP would represent a first graph-database instance of the computer scientist network, that can be improved through new relationships and properties on nodes at any time, and this is the main purpose of the tool, that is freely available on Github. To date, GraphDBLP contains 5+ million nodes and 24+ million relationships.

Keywords

Graph databases Big Scholarly Data Word embeddings 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Statistics and Quantitative MethodsUniversity of Milano-BicoccaMilanItaly
  2. 2.CRISP Research CentreUniversity of Milano-BicoccaMilanItaly
  3. 3.Department of Electrical Engineering and Information TechnologyUniversity of Naples Federico IINaplesItaly

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