04491nam a22005535i 4500 978-3-031-45256-7 DE-He213 20251030112303.0 cr nn 008mamaa 240608s2024 sz | s |||| 0|eng d 9783031452567 978-3-031-45256-7 10.1007/978-3-031-45256-7 doi Q334-342 TA347.A78 UYQ bicssc COM004000 bisacsh UYQ thema Serles, Umutcan. author. aut http://id.loc.gov/vocabulary/relators/aut 78438 An Introduction to Knowledge Graphs [electronic resource] / by Umutcan Serles, Dieter Fensel. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXIV, 434 p. 280 illus., 49 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. Artificial intelligence. 58441 Information storage and retrieval systems. 65568 Expert systems (Computer science). 67822 Natural language processing (Computer science). 65131 Artificial Intelligence. 58441 Information Storage and Retrieval. 65570 Knowledge Based Systems. 67823 Natural Language Processing (NLP). 66164 Fensel, Dieter. author. aut http://id.loc.gov/vocabulary/relators/aut 78439 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031452550 Printed edition: 9783031452574 https://doi.org/10.1007/978-3-031-45256-7 ZDB-2-SCS ZDB-2-SXCS 60604 60604