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An introduction to knowledge graphs

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	An introduction to knowledge graphs/ by Umutcan Serles, Dieter Fensel.
作者:	Serles, Umutcan.
其他作者:	Fensel, Dieter.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xxiv, 434 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Information visualization. -
電子資源:	https://doi.org/10.1007/978-3-031-45256-7
ISBN:	9783031452567

An introduction to knowledge graphs
Serles, Umutcan.

An introduction to knowledge graphs[electronic resource] /by Umutcan Serles, Dieter Fensel. - Cham :Springer Nature Switzerland :2024. - xxiv, 434 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9783031452567

Standard No.: 10.1007/978-3-031-45256-7doiSubjects--Topical Terms:

615673
Information visualization.

LC Class. No.: QA76.9.I52

Dewey Class. No.: 744.37

An introduction to knowledge graphs
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505 0 $a 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.
520 $a 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.
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