Exploiting Linked Data and Knowledge Graphs in Large Organisations

  • Jeff Z. Pan
  • Guido Vetere
  • Jose Manuel Gomez-Perez
  • Honghan Wu

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Jose Manuel Gomez-Perez, Jeff Z. Pan, Guido Vetere, Honghan Wu
    Pages 1-14
  3. Knowledge Graph Foundations & Architecture

    1. Front Matter
      Pages 15-16
    2. Boris Villazon-Terrazas, Nuria Garcia-Santa, Yuan Ren, Alessandro Faraotti, Honghan Wu, Yuting Zhao et al.
      Pages 17-55
    3. Ronald Denaux, Yuan Ren, Boris Villazon-Terrazas, Panos Alexopoulos, Alessandro Faraotti, Honghan Wu
      Pages 57-84
  4. Constructing, Understanding and Consuming Knowledge Graphs

    1. Front Matter
      Pages 85-86
    2. Boris Villazon-Terrazas, Nuria Garcia-Santa, Yuan Ren, Kavitha Srinivas, Mariano Rodriguez-Muro, Panos Alexopoulos et al.
      Pages 87-116
    3. Panos Alexopoulos, Yuting Zhao, Jeff Z. Pan, Man Zhu
      Pages 117-146
    4. Honghan Wu, Ronald Denaux, Panos Alexopoulos, Yuan Ren, Jeff Z. Pan
      Pages 147-180
    5. Alessandro Moschitti, Kateryna Tymoshenko, Panos Alexopoulos, Andrew Walker, Massimo Nicosia, Guido Vetere et al.
      Pages 181-212
  5. Industrial Applications and Successful Stories

    1. Front Matter
      Pages 213-214
    2. Marco Monti, Fernanda Perego, Yuting Zhao, Guido Vetere, Jose Manuel Gomez-Perez, Panos Alexopoulos et al.
      Pages 215-236
    3. Jeff Z. Pan, Jose Manuel Gomez-Perez, Guido Vetere, Honghan Wu, Yuting Zhao, Marco Monti
      Pages 237-249
  6. Back Matter
    Pages 251-266

About this book

Introduction

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-world use cases, and proposes the

enterprise knowledge graph to fill such gaps.

It provides concrete guidelines for effectively deploying linked-data graphs within

and across business organizations. It is divided into three parts, focusing on the key

technologies for constructing, understanding and employing knowledge graphs.

Part 1 introduces basic background information and technologies, and presents a

simple architecture to elucidate the main phases and tasks required during the  lifecycle of knowledge graphs. Part 2 focuses on technical aspects; it starts with state-of-the art knowledge-graph construction approaches, and then discusses exploration and exploitation techniques as well as advanced question-answering topics concerning knowledge graphs. Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, and offers conclusions and future visions.

Keywords

Linked Open Data Knowledge Graphs Semantic Web Technologies Knowledge Representation and Reasoning Question Answering

Editors and affiliations

  • Jeff Z. Pan
    • 1
  • Guido Vetere
    • 2
  • Jose Manuel Gomez-Perez
    • 3
  • Honghan Wu
    • 4
  1. 1.The University of AberdeenAberdeenUnited Kingdom
  2. 2.IBM ItaliaRomeItaly
  3. 3.iSOCO Lab MadridSpain
  4. 4.The University of AberdeenAberdeenUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-45654-6
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-45652-2
  • Online ISBN 978-3-319-45654-6