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020 _a9783031452567
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024 7 _a10.1007/978-3-031-45256-7
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
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_223
100 1 _aSerles, Umutcan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9103460
245 1 3 _aAn Introduction to Knowledge Graphs
_h[electronic resource] /
_cby Umutcan Serles, Dieter Fensel.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXIV, 434 p. 280 illus., 49 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart 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 _aThis 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.
650 0 _aArtificial intelligence.
_93407
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aExpert systems (Computer science).
_93392
650 0 _aNatural language processing (Computer science).
_94741
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aKnowledge Based Systems.
_979172
650 2 4 _aNatural Language Processing (NLP).
_931587
700 1 _aFensel, Dieter.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_921799
710 2 _aSpringerLink (Online service)
_9103464
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031452550
776 0 8 _iPrinted edition:
_z9783031452574
856 4 0 _uhttps://doi.org/10.1007/978-3-031-45256-7
912 _aZDB-2-SCS
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