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.
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
- No. of pages:
- © Morgan Kaufmann 1991
- 29th September 2014
- Morgan Kaufmann
- eBook ISBN: