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Titlebook: An Introduction to Knowledge Graphs; Umutcan Serles,Dieter Fensel Textbook 2024 The Editor(s) (if applicable) and The Author(s), under exc

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發(fā)表于 2025-3-21 18:53:38 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱An Introduction to Knowledge Graphs
影響因子2023Umutcan Serles,Dieter Fensel
視頻videohttp://file.papertrans.cn/168/167424/167424.mp4
發(fā)行地址Introduces the theoretical foundations of technologies essential for knowledge graphs.Presents practical examples and tools illustrating the process of knowledge graph creation and exploitation.Writte
圖書封面Titlebook: An Introduction to Knowledge Graphs;  Umutcan Serles,Dieter Fensel Textbook 2024 The Editor(s) (if applicable) and The Author(s), under exc
影響因子.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 w
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Philip Kotler,Waldemar Pf?rtsch,Uwe Sponholzevel, which provides language primitives that connect logical knowledge representation with the conceptual level (e.g., knowledge representation with ontologies); and, finally, the linguistic level, where knowledge is represented via natural language. We briefly introduce these five levels with examples.
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The Five Levels of Representing Knowledgeevel, which provides language primitives that connect logical knowledge representation with the conceptual level (e.g., knowledge representation with ontologies); and, finally, the linguistic level, where knowledge is represented via natural language. We briefly introduce these five levels with examples.
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The Logical Level-order logic such as Herbrand models and description logic, which have more desirable computational properties. These two variations on first-order logic are the logical foundations of F-logic and OWL, respectively. Finally, we cover the formal semantics for RDF(S) and SPARQL, which deviate from the logical formalisms introduced before.
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