A tool for exploring networks of computer scientists as a graph
| Autor: | Mario Mezzanzanica, Mirko Cesarini, Fabio Mercorio, Antonio Picariello, Vincenzo Moscato |
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| Přispěvatelé: | Cesarini, M, Mercorio, F, Mezzanzanica, M, Moscato, V, Picariello, A |
| Rok vydání: | 2019 |
| Předmět: |
Semantic Social Network
Information retrieval Graph database Application Computer science 020207 software engineering 02 engineering and technology computer.software_genre Graph Semantic Knowledge Discovery Semantic similarity 020204 information systems 0202 electrical engineering electronic engineering information engineering Graph (abstract data type) Semantic social network computer graph-database machine learning artificial intelligence tool |
| Zdroj: | SAC |
| DOI: | 10.1145/3297280.3297501 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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