Enterprise knowledge graph: Looking into the future

Jeff Z. Pan*, Jose Manuel Gomez-Perez, Guido Vetere, Honghan Wu, Yuting Zhao, Marco Monti

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Congratulations! We have covered architecture, technical details, and success stories of the knowledge graph for Large Organizations together, in the eight chapters that we have just walked over.

Original languageEnglish
Title of host publicationExploiting Linked Data and Knowledge Graphs in Large Organisations
EditorsJeff Z Pan, Guido Vetere, Jose Manuel Gomez-Perez, Honghan Wu
PublisherSpringer International Publishing AG
Pages237-249
Number of pages13
ISBN (Electronic)9783319456546
ISBN (Print)9783319456522
DOIs
Publication statusPublished - 24 Jan 2017

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Keywords

  • Edge graph
  • Graph database
  • Knowledge graph
  • Question answering
  • Symbolic knowledge

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Pan, J. Z., Gomez-Perez, J. M., Vetere, G., Wu, H., Zhao, Y., & Monti, M. (2017). Enterprise knowledge graph: Looking into the future. In J. Z. Pan, G. Vetere, J. M. Gomez-Perez, & H. Wu (Eds.), Exploiting Linked Data and Knowledge Graphs in Large Organisations (pp. 237-249). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-45654-6_9