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Exploiting Linked Data and Knowledge Graphs in Large Organisations

This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It identifies the gaps between the requirements of enterprise knowledge consumption and “standard” data consuming technologies by analysing real-...

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Corporate Author: SpringerLink (Online service)
Other Authors: Pan, Jeff Z. (Editor, http://id.loc.gov/vocabulary/relators/edt), Vetere, Guido. (Editor, http://id.loc.gov/vocabulary/relators/edt), Gomez-Perez, Jose Manuel. (Editor, http://id.loc.gov/vocabulary/relators/edt), Wu, Honghan. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Subjects:
Artificial intelligence.
Data mining.
Application software.
Management information systems.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Information Systems Applications (incl. Internet).
Business Information Systems.
Online Access:https://doi.org/10.1007/978-3-319-45654-6
Table of Contents:
  • Part I Knowledge Graph Foundations & Architecture
  • Part II Constructing, Understanding and Consuming Knowledge Graphs
  • Part III Industrial Applications and Successful Stories.

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