@InProceedings{faralli-velardi-yusifli:2020:LREC,
  author    = {Faralli, Stefano  and  Velardi, Paola  and  Yusifli, Farid},
  title     = {Multiple Knowledge GraphDB (MKGDB)},
  booktitle      = {Proceedings of The 12th Language Resources and Evaluation Conference},
  month          = {May},
  year           = {2020},
  address        = {Marseille, France},
  publisher      = {European Language Resources Association},
  pages     = {2325--2331},
  abstract  = {We present MKGDB, a large-scale graph database created as a combination of multiple taxonomy backbones extracted from 5 existing knowledge graphs, namely: ConceptNet, DBpedia, WebIsAGraph, WordNet and the Wikipedia category hierarchy. MKGDB, thanks the versatility of the Neo4j graph database manager technology, is intended to favour and help the development of open-domain natural language processing applications relying on knowledge bases, such as information extraction, hypernymy discovery, topic clustering, and others. Our resource consists of a large hypernymy graph which counts more than 37 million nodes and more than 81 million hypernymy relations.},
  url       = {https://www.aclweb.org/anthology/2020.lrec-1.283}
}