Principles of Semantic Networks
Explorations in the Representation of Knowledge
Published on 1. January 2014
461 pages
978-1-4832-2114-4 (ISBN)
Description
Principles of Semantic Networks: Explorations in the Representation of Knowledge provides information pertinent to the theory and applications of semantic networks. This book deals with issues in knowledge representation, which discusses theoretical topics independent of particular implementations. Organized into three parts encompassing 19 chapters, this book begins with an overview of semantic network structure for representing knowledge as a pattern of interconnected nodes and arcs. This text then analyzes the concepts of subsumption and taxonomy and synthesizes a framework that integrates many previous approaches and goes beyond them to provide an account of abstract and partially defines concepts. Other chapters consider formal analyses, which treat the methods of reasoning with semantic networks and their computational complexity. This book discusses as well encoding linguistic knowledge. The final chapter deals with a formal approach to knowledge representation that builds on ideas originating outside the artificial intelligence literature in research on foundations for programming languages. This book is a valuable resource for mathematicians.
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05/1990
Morgan Kaufmann
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Content
PrefacePart I Issues in Knowledge Representation Panel Current Issues in Semantic Networks Chapter 1 Understanding Subsumption and Taxonomy: A Framework for Progress Chapter 2 Semantic Nets Are in the Eye of the Beholder Chapter 3 Why Semantic Networks? Chapter 4 Cables, Paths, And "Subconscious" Reasoning In Propositional Semantic Networks Chapter 5 Toward the Expressive Power of Natural Language Chapter 6 Sentences, Situations, and PropositionsPart II Formal Analyses Chapter 7 Inheritance Theory and Networks with Roles Chapter 8 Extensions as Possible Worlds Chapter 9 The Tractability of Path-Based Inheritance Chapter 10 ALL: Formalizing Access-Limited Reasoning Chapter 11 Terminological Cycles: Semantics and Computational Properties Chapter 12 Logical Dimensions of Some Graph FormalismsPart III Systems for Knowledge Representation Chapter 13 The Evolving Technology of Classification-Based Knowledge Representation Systems Chapter 14 Living With Classic: When and How to Use a KL-ONE-Like Language Chapter 15 Utilizing Knowledge: The Components of the SB-ONE Knowledge Representation Workbench Chapter 16 Reasoning with Graph Operations Chapter 17 Representing and Reasoning About Physical Systems Using Prime Models Chapter 18 Integrating Language and Meaning in Structured Inheritance Networks Chapter 19 A Frame-Like Knowledge Representation Integrating Abstract Data Types and LogicIndex
