An Introduction to Knowledge Graphs / Umutcan Serles and Dieter Fensel.

Format:

Book

Author/Creator:

Serles, Umutcan, author.

Fensel, Dieter, author.

Language:

English

Subjects (All):

Artificial intelligence.

Semantics.

Artificial intelligence--Economic aspects.

Physical Description:

1 online resource (440 pages)

Edition:

First edition.

Place of Publication:

Springer Nature 2024

Summary:

This textbook introduces the theoretical foundations of technologies essential for knowledge graphs. It also covers practical examples, applications and tools. Knowledge graphs are the most recent answer to the challenge of providing explicit knowledge about entities and their relationships by potentially integrating billions of facts from heterogeneous sources. The book is structured in four parts. For a start, Part I lays down the overall context of knowledge graph technology. Part II “Knowledge Representation” then provides a deep understanding of semantics as the technical core of knowledge graph technology. Semantics is covered from different perspectives, such as conceptual, epistemological and logical. Next, Part III “Knowledge Modelling” focuses on the building process of knowledge graphs. 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. Finally, Part IV (simply called “Applications”) presents various application areas in detail with concrete application examples as well as an outlook on additional trends that will emphasize the need for knowledge graphs even stronger. This textbook is intended for graduate courses covering knowledge graphs. Besides students in knowledge graph, Semantic Web, database, or information retrieval classes, also advanced software developers for Web applications or tools for Web data management will learn about the foundations and appropriate methods.

Contents:

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.

Notes:

Includes bibliographical references.

Description based on print version record.

Other Format:

Print version: Serles, Umutcan An Introduction to Knowledge Graphs

ISBN:

9783031452567