In this paper we present GraphDBLP, a tool to query 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 writing queries on the graph-db visual console or using a shell-interface provided with 4 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, we have made freely available on Github.
Cesarini, M., Mercorio, F., Mezzanzanica, M., Moscato, V., Picariello, A. (2019). A tool for exploring networks of computer scientists as a graph. In Proceedings of the 34th ACM Symposium on Applied Computing SAC 2019; Limassol; Cyprus; 8-12 April 2019 (pp.2240-2242). Association for Computing Machinery [10.1145/3297280.3297501].
A tool for exploring networks of computer scientists as a graph
Cesarini, Mirko;Mercorio, Fabio
;Mezzanzanica, Mario;
2019
Abstract
In this paper we present GraphDBLP, a tool to query 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 writing queries on the graph-db visual console or using a shell-interface provided with 4 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, we have made freely available on Github.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.