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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Introduction to Knowledge RepresentationPart II of the book starts with an introduction to knowledge representation, particularly focused on the definition of “semantics” for machines and humans. We introduce different kinds of semantics, such as intensional, extensional, and prototypical semantics.

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SummaryThis chapter provides a summary of Part II of the book, which was about knowledge representation.

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https://doi.org/10.1007/978-3-642-70242-6ntelligence community, starting from the 1950s. We start with the initial attempt at a General Problem Solver, whose limitations revealed the need for knowledge. We give a brief introduction to different knowledge representation paradigms, reasoning, and knowledge modeling with a particular focus on ontologies.

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https://doi.org/10.1007/978-3-642-70242-6minent information retrieval applications, namely, Web search. Even in its early years, the Web contained a vast number of documents that made it necessary to rank the documents returned for a query. We explain the perhaps most popular ranking algorithm, PageRank, which benefits from the hypertext nature of Web documents.

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Finding Meaning in a Troubled World,ledge from text and integrating it into knowledge graphs. We provide a brief introduction to a typical NLP pipeline and give an example implementation based on the General Architecture for Text Engineering (GATE) tool.

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Defense

Artificial Intelligencentelligence community, starting from the 1950s. We start with the initial attempt at a General Problem Solver, whose limitations revealed the need for knowledge. We give a brief introduction to different knowledge representation paradigms, reasoning, and knowledge modeling with a particular focus on