Enterprise knowledge graph: Looking into the future

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

doi:10.1007/978-3-319-45654-6_9

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

Computing Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Citation (Scopus)

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 language	English
Title of host publication	Exploiting Linked Data and Knowledge Graphs in Large Organisations
Editors	Jeff Z Pan, Guido Vetere, Jose Manuel Gomez-Perez, Honghan Wu
Publisher	Springer International Publishing AG
Pages	237-249
Number of pages	13
ISBN (Electronic)	9783319456546
ISBN (Print)	9783319456522
DOIs	https://doi.org/10.1007/978-3-319-45654-6_9
Publication status	Published - 24 Jan 2017

Keywords

Edge graph
Graph database
Knowledge graph
Question answering
Symbolic knowledge

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10.1007/978-3-319-45654-6_9Licence: Unspecified

Cite this

Enterprise knowledge graph: Looking into the future. / Pan, Jeff Z.; Gomez-Perez, Jose Manuel; Vetere, Guido et al.
Exploiting Linked Data and Knowledge Graphs in Large Organisations. ed. / Jeff Z Pan; Guido Vetere; Jose Manuel Gomez-Perez; Honghan Wu. Springer International Publishing AG, 2017. p. 237-249.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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AU - Vetere, Guido

AU - Wu, Honghan

AU - Zhao, Yuting

AU - Monti, Marco

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KW - Graph database

KW - Knowledge graph

KW - Question answering

KW - Symbolic knowledge

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PB - Springer International Publishing AG

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Enterprise knowledge graph: Looking into the future

Abstract

Keywords

Access to Document

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