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.
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CITATION STYLE
Mercorio, F., Mezzanzanica, M., Moscato, V., Picariello, A., & Sperlì, G. (2020). A Tool for Researchers: Querying Big Scholarly Data Through Graph Databases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11908 LNAI, pp. 760–763). Springer. https://doi.org/10.1007/978-3-030-46133-1_46
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