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Principles of Semantic Networks - 1st Edition - ISBN: 9781483207711, 9781483221144

Principles of Semantic Networks

1st Edition

Explorations in the Representation of Knowledge

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Editor: John F. Sowa
eBook ISBN: 9781483221144
Imprint: Morgan Kaufmann
Published Date: 29th September 2014
Page Count: 594
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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.

Table of Contents


Part 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 Propositions

Part 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 Formalisms

Part 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 Logic



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© Morgan Kaufmann 1991
29th September 2014
Morgan Kaufmann
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About the Editor

John F. Sowa

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