2011 OntologyAPracticalGuide

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Subject Headings: SUMO Ontology, Top-Level Ontology.

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Abstract

This new book reports on a decade of work developing SUMO and its associated tools, models and domain ontologies. Written for a wide audience, it should be accessible to anyone with a general computer science background. It includes introductions to topics such as formal theorem proving and the properties of different formal knowledge representation languages. The book is suitable as a self-study guide for the professional, student or researcher. It also includes a number of exercises with selected answers, making it appropriate as a textbook for a senior year or graduate level course in AI knowledge representation.

Table of Contents

 Chapter 1: Introduction 	1
 Motivation 	3
 Responding to the Critics 	11
 The Symbol Grounding Problem 	20
 Contents of the Book 	28
 Chapter 2: Knowledge Representation 	31
 Overview 	33
 Informal Languages 	35
 Frames 	38
 Description Logic 	41
 Propositional and Predicate Logic 	47
 First-Order Logic 	53
 Higher-Order Logics 	55
 First-Order Logic in SUO-KIF 	56
 SUO-KIF Details 	58
 Conversion to First-Order Logic 	61
 Exercises 	68
 Chapter 3: Ontologies (in the Broadest Sense) 	69
 Introduction 	71
 WordNet (and Why it's not an Ontology) 	71
 Digression: Ontology Development Pitfalls 	78
 Chapter 4: Suggested Upper Merged Ontology 	83
 Overview 	86
 Validation 	89
 Principles of Construction 	92
 Digression - Open Research 	93
 SUMO History 	94
 SUMO Overview 	101
 SUMO's Eleven Modules 	105
 Lower Level Ontologies 	109
 Ontological Issues 	111
 Ontology Code Management 	118
 SUMO Details and Examples 	120
 Semiotics Content 	147
 Exercises 	154
 Chapter 5: SUMO and the WordNet Mappings 	157
 Overview 	159
 Interpreting Language 	164
 Global WordNet 	166
 The Interlingual Index 	166
 Arabic and Filipino Wordnets 	168
 Chapter 6: Knowledge Engineering Tools 	171
 Introduction 	173
 Language Generation 	175
 Browsing and Display 	179
 Analysis and Debugging 	182
 Inference 	184
 Higher-Order Logic 	192
 Mapping, Merging and Translation 	194
 Working with Sigma and SUMO 	195
 Example Application 	197
 Browsing and Editing 	201
 Sigma Tutorial 	202
 Exercises 	214
 Chapter 7: Using SUMO for Inference 	215
 Overview 	217
 Inference 	218
 Example Inference 	220
 Proof Presentation 	222
 Resolution Theorem Proving Example 	223
 Normalization Algorithm 	230
 Refutation Algorithm 	232
 Chapter 8: Controlled English to Logic Translation 	235
 Introduction 	237
 Simple Parsing and Interpretation 	239
 Issues in Translation 	241
 CELT Components 	248
 Chapter 9: An Application: Extending SUMO with Wikipedia	249
 Introduction 	251
 Related Work 	251
 General Comparison of the Knowledge Sources 	253
 Integration of Entities 	255
 Integrating Factual Knowledge 	262
 Semantics of Terms in Ontologies 	266
 Conclusion 	267

References

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2011 OntologyAPracticalGuideAdam PeaseOntology: A Practical Guide2011