Introduction to Knowledge Graphs

Häftad, Engelska, 2024

979 kr

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The book focuses on the phases of knowledge generation, knowledge hosting, knowledge assessment, knowledge cleaning, knowledge enrichment, and knowledge deployment to cover a complete life cycle for this process.

Produktinformation

Utgivningsdatum2024-06-09
Mått230 x 20 x 150 mm
Vikt695 g
FormatHäftad
SpråkEngelska
Antal sidor434
FörlagSpringer International Publishing AG
ISBN9783031452550

Tillhör följande kategorier

Artificiell intelligens inom Data och it
Databaser inom Data och it
Systemvetenskap och AI inom Data och it

Umutcan Serles is a postdoctoral researcher with the Semantic Technology Institute Innsbruck at the University of Innsbruck’s Department of Computer Science. He has participated in many academic and industrial research projects about semantic technologies and knowledge graphs. Since 2016, he has been teaching courses about semantic web and since 2021 also courses dedicated to knowledge graphs. He also serves as a scientific consultant for various organizations that work with knowledge graph technology. Dieter Fensel is the chair of the Semantic Technology Institute Innsbruck 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.

Part I: Knowledge Technology in Context.- 2. Introduction.- 3. Information Retrieval and Hypertext.- 4. The Internet.- 5. The World Wide Web.- 6. Natural Language Processing.- 7. Semantic Web – Or AI Revisited.- 8. Databases.- 9. Web of Data.- 10. Knowledge Graphs.- Part II: Knowledge Representation.- 11. Introduction to Knowledge Representation.- 12. The Five Levels of Representing Knowledge.- 13. Epistemology.- 14. The Logical Level.- 15. Analysis of Schema.org at Five Levels of KR.- 16. Summary.- Part III: Knowledge Modeling.- 17. Introduction: The Overall Model.- 18. Knowledge Creation.- 19. Knowledge Hosting.- 20. Knowledge Assessment.- 21. Knowledge Cleaning.- 22. Knowledge Enrichment.- 23. Tooling and Knowledge Deployment.- 24. Summary.- Part IV: Applications.- 25. Applications.