Knowledge Graphs

  1. Hogan, Aidan 9
  2. Gutierrez, Claudio 9
  3. Cochcz, Michael 78
  4. Melo, Gerard de 45
  5. Kirranc, Sabrina 6
  6. Pollcrcs, Axel 6
  7. Navigli, Roberto 15
  8. Ngomo, Axcl-Cyrille Ngonga 11
  9. Rashid, Sabbir M. 12
  10. Schmclzciscn, Lukas 3
  11. Staab, Steffen 313
  12. Blomqvist, Eva 16
  13. d’Amato, Claudia 18
  14. Gayo, José Emilio Labra 2
  15. Ncumaicr, Sebastian 10
  16. Rula, Anisa 17
  17. Scqucda, Juan 1
  18. Zimmermann, Antoine 14
  1. 1 data.world, USA
  2. 2 Universidad de Oviedo
    info
    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

    Geographic location of the organization Universidad de Oviedo
  3. 3 University of Stuttgart
    info
    University of Stuttgart

    Stuttgart, Alemania

    ROR https://ror.org/04vnq7t77

    Geographic location of the organization University of Stuttgart
  4. 4 University of Potsdam
    info
    University of Potsdam

    Potsdam, Alemania

    ROR https://ror.org/03bnmw459

    Geographic location of the organization University of Potsdam
  5. 5 Rutgers University
    info
    Rutgers University

    Nuevo Brunswick, Estados Unidos

    ROR https://ror.org/05vt9qd57

    Geographic location of the organization Rutgers University
  6. 6 Vienna University of Economics and Business
    info
    Vienna University of Economics and Business

    Viena, Austria

    ROR https://ror.org/03yn8s215

    Geographic location of the organization Vienna University of Economics and Business
  7. 7 VU University Amsterdam
    info
    VU University Amsterdam

    Ámsterdam, Holanda

    ROR https://ror.org/008xxew50

    Geographic location of the organization VU University Amsterdam
  8. 8 Discovery Lab, Elsevier, Netherlands
  9. 9 Universidad de Chile
    info
    Universidad de Chile

    Santiago de Chile, Chile

    ROR https://ror.org/047gc3g35

    Geographic location of the organization Universidad de Chile
  10. 10 St. Pölten University of Applied Sciences
    info
    St. Pölten University of Applied Sciences

    Sankt Pölten, Austria

    ROR https://ror.org/039a2re55

    Geographic location of the organization St. Pölten University of Applied Sciences
  11. 11 University of Paderborn
    info
    University of Paderborn

    Paderborn, Alemania

    ROR https://ror.org/058kzsd48

    Geographic location of the organization University of Paderborn
  12. 12 Rensselaer Polytechnic Institute
    info
    Rensselaer Polytechnic Institute

    Troy, Estados Unidos

    ROR https://ror.org/01rtyzb94

    Geographic location of the organization Rensselaer Polytechnic Institute
  13. 13 University of Southampton
    info
    University of Southampton

    Southampton, Reino Unido

    ROR https://ror.org/01ryk1543

    Geographic location of the organization University of Southampton
  14. 14 École des mines de Saint-Étienne, France
  15. 15 Università de Roma La Sapienza
    info
    Università de Roma La Sapienza

    Roma, Italia

    ROR https://ror.org/02be6w209

    Geographic location of the organization Università de Roma La Sapienza
  16. 16 Linköping University
    info
    Linköping University

    Linköping, Suecia

    ROR https://ror.org/05ynxx418

    Geographic location of the organization Linköping University
  17. 17 Università degli Studi di Brescia
    info
    Università degli Studi di Brescia

    Brescia, Italia

    ROR https://ror.org/02q2d2610

    Geographic location of the organization Università degli Studi di Brescia
  18. 18 University of Bari Aldo Moro
    info
    University of Bari Aldo Moro

    Bari, Italia

    ROR https://ror.org/027ynra39

    Geographic location of the organization University of Bari Aldo Moro
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Publisher: Springer

ISSN: 2691-2023,  2691-2031

ISBN: 9783031007903,  9783031019180

Year of publication: 2022

Type: Book

DOI: 10.1007/978-3-031-01918-0 GOOGLE SCHOLAR

Sustainable development goals

Abstract

This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.