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Knowledge Graphs

Methodology, Tools and Selected Use Cases

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  • © 2020

Overview

Authors:
  1. Dieter Fensel

    1. Semantic Technology Institute Innsbruck, Department of Computer Science, University of Innsbruck, Innsbruck, Austria

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  2. Umutcan Şimşek

    1. Semantic Technology Institute Innsbruck, Department of Computer Science, University of Innsbruck, Innsbruck, Austria

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  3. Kevin Angele

    1. Semantic Technology Institute Innsbruck, Department of Computer Science, University of Innsbruck, Innsbruck, Tirol, Austria, Onlim GmbH, Telfs, Austria

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  4. Elwin Huaman

    1. Semantic Technology Institute Innsbruck, Department of Computer Science, University of Innsbruck, Innsbruck, Austria

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  5. Elias Kärle

    1. Semantic Technology Institute Innsbruck, Department of Computer Science, University of Innsbruck, Innsbruck, Austria

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  6. Oleksandra Panasiuk

    1. Semantic Technology Institute Innsbruck, Department of Computer Science, University of Innsbruck, Innsbruck, Austria

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  7. Ioan Toma

    1. Onlim GmbH, Telfs, Austria

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  8. Jürgen Umbrich

    1. Onlim GmbH, Telfs, Austria

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  9. Alexander Wahler

    1. Onlim GmbH, Telfs, Austria

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  • Describes methods and tools that empower information providers to build and maintain knowledge graphs

  • Covers the entire lifecycle, from knowledge graph construction and implementation to validation, error correction and further enrichments

  • Illustrates practical usage through several pilot implementations in various domains

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Introduction: What Is a Knowledge Graph?

    • Dieter Fensel, Umutcan Şimşek, Kevin Angele, Elwin Huaman, Elias Kärle, Oleksandra Panasiuk et al.
    Pages 1-10

  3. How to Build a Knowledge Graph

    • Dieter Fensel, Umutcan Şimşek, Kevin Angele, Elwin Huaman, Elias Kärle, Oleksandra Panasiuk et al.
    Pages 11-68

  4. How to Use a Knowledge Graph

    • Dieter Fensel, Umutcan Şimşek, Kevin Angele, Elwin Huaman, Elias Kärle, Oleksandra Panasiuk et al.
    Pages 69-93

  5. Why We Need Knowledge Graphs: Applications

    • Dieter Fensel, Umutcan Şimşek, Kevin Angele, Elwin Huaman, Elias Kärle, Oleksandra Panasiuk et al.
    Pages 95-112

  6. Conclusions

    • Dieter Fensel, Umutcan Şimşek, Kevin Angele, Elwin Huaman, Elias Kärle, Oleksandra Panasiuk et al.
    Pages 113-115

  7. Back Matter

    Pages 117-147
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Keywords

About this book

This book describes methods and tools that empower information providers to build and maintain knowledge graphs, including those for manual, semi-automatic, and automatic construction; implementation; and validation and verification of semantic annotations and their integration into knowledge graphs. It also presents lifecycle-based approaches for semi-automatic and automatic curation of these graphs, such as approaches for assessment, error correction, and enrichment of knowledge graphs with other static and dynamic resources.


Chapter 1 defines knowledge graphs, focusing on the impact of various approaches rather than mathematical precision. Chapter 2 details how knowledge graphs are built, implemented, maintained, and deployed. Chapter 3 then introduces relevant application layers that can be built on top of such knowledge graphs, and explains how inference can be used to define views on such graphs, making it a useful resource for open and service-oriented dialog systems. Chapter 4 discusses applications of knowledge graph technologies for e-tourism and use cases for other verticals. Lastly, Chapter 5 provides a summary and sketches directions for future work. The additional appendix introduces an abstract syntax and semantics for domain specifications that are used to adapt schema.org to specific domains and tasks.


To illustrate the practical use of the approaches presented, the book discusses several pilots with a focus on conversational interfaces, describing how to exploit knowledge graphs for e-marketing and e-commerce. It is intended for advanced professionals and researchers requiring a brief introduction to knowledge graphs and their implementation. 


                 




       


          

Authors and Affiliations

  • Semantic Technology Institute Innsbruck, Department of Computer Science, University of Innsbruck, Innsbruck, Austria

    Dieter Fensel, Umutcan Şimşek, Elwin Huaman, Elias Kärle, Oleksandra Panasiuk

  • Semantic Technology Institute Innsbruck, Department of Computer Science, University of Innsbruck, Innsbruck, Tirol, Austria, Onlim GmbH, Telfs, Austria

    Kevin Angele

  • Onlim GmbH, Telfs, Austria

    Ioan Toma, Jürgen Umbrich, Alexander Wahler

About the authors

Dieter Fensel is the director of the STI Innsbruck research group at the University of Innsbruck’s Department of Computer Science. He has written over 300 scientific publications, including books, journals and conference papers, and workshop contributions. As one of the pioneers of research in the Semantic Web, he co-founded major scientific events such as the Extended Semantic Web Conference (ESWC) and the International Semantic Web Conference (ISWC). His research interests currently focus on the development of knowledge graphs and various aspects of the knowledge graph lifecycle. He has successfully applied his research in industry by co-founding companies like seekda (now part of Kognitiv) and Onlim, which are active in conversational interfaces and knowledge graphs. 
The book has been co-authored under his guidance, by his team of researchers at STI Innsbruck (Kevin Angele, Elwin Huaman, Elias Kärle, Oleksandra Panasiuk and Umutcan Şimşek) and Onlim GmbH (Alexander Wahler, Jürgen Umbrich and Ioan Toma).


        

Bibliographic Information

  • Book Title: Knowledge Graphs

  • Book Subtitle: Methodology, Tools and Selected Use Cases

  • Authors: Dieter Fensel, Umutcan Şimşek, Kevin Angele, Elwin Huaman, Elias Kärle, Oleksandra Panasiuk, Ioan Toma, Jürgen Umbrich, … Alexander Wahler

  • DOI: https://doi.org/10.1007/978-3-030-37439-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-37438-9Published: 01 February 2020

  • eBook ISBN: 978-3-030-37439-6Published: 31 January 2020

  • Edition Number: 1

  • Number of Pages: XVI, 148

  • Number of Illustrations: 8 b/w illustrations, 8 illustrations in colour

  • Topics: Knowledge based Systems, Information Systems Applications (incl. Internet), Computer Appl. in Administrative Data Processing

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