Knowledge Graphs

Methodology, Tools and Selected Use Cases

Dieter Fensel, Umutcan Şimşek, Kevin Angele , Elwin Huaman

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English

Springer Nature Switzerland AG
01 February 2020

Public administration; Information retrieval; Expert & knowledge-based systems

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.

By: Dieter Fensel, Umutcan Şimşek, Kevin Angele, Elwin Huaman, Elias Kärle
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 1st ed. 2020
Dimensions: Height: 235mm, Width: 155mm,
Weight: 454g
ISBN: 9783030374389
ISBN 10: 3030374386
Pages: 148
Publication Date: 01 February 2020
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Introduction: What is a Knowledge Graph?.- How to build a Knowledge Graph.- How to use a Knowledge Graph.- Why we need Knowledge Graphs: Applications.- Conclusions.- References.- Appendix.- Index.

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).