000 03636nam a22003497a 4500
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020 _a9783031452550 [paperback]
040 _aUniversity of Cebu-Banilad
_cUniversity of Cebu-Banilad
100 _aSerles, Umutcan,
_eauthor.
245 _aAn introduction to knowledge graphs /
_cby Umutcan Serles and Dieter Fensel.
260 _aCham, Switzerland :
_bSpringer,
_cc2024.
300 _axxiv, 434 pages :
_billustrations (black and white) ;
_c23 cm.
336 _2rdacontent
_atext
337 _2rdamedia
_aunmediated
338 _2rdacarrier
_avolume
504 _aIncludes bibliographical references
505 _aContents: Part I Knowledge technology in context -- 1 Introduction -- 2. Artificial intelligence -- 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." --Backcover
521 _aAdult
541 _aPurchased
_xOrtega, Eric
_yCollege of Computer Studies
_zComputer Science
546 _aText in English
650 _aKnowledge graphs.
650 _aSemantic Web.
650 _aDatabase management.
650 _aOntology.
700 _aFensel, Dieter,
_eauthor.
942 _2ddc
_cBK
998 _cJanna [new]
_d08/03/2026
999 _c15575
_d15575