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Representation and Management of Narrative Information - Theoretical Principles and Implementation

Representation and Management of Narrative Information - Theoretical Principles and Implementation

von: Gian Piero Zarri.

Springer Verlag London Limited, 2009

ISBN: 9781848000780, 305 Seiten

Format: PDF, OL

Mac OSX,Windows PC Apple iPad, Android Tablet PC's Online-Lesen für: Linux,Mac OSX,Windows PC

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Representation and Management of Narrative Information - Theoretical Principles and Implementation


 

Contents

9

Preface

5

Chapter 1 Basic Principles

11

Narrative Information in an NKRL Context

12

Narratology and NKRL

12

‘‘Fictional’’ and ‘‘Nonfictional’’ Narratives

13

Informal Definition of an NKRL ‘‘Narrative’&rsquo

15

The Notion of ‘‘Event’’ in an NKRL Context

17

A Kimian-like Analysis

18

A Davidsonian-like Analysis

20

Final Notes on the Linguistic Theories about ‘‘Events’&rsquo

22

Knowledge Representation and NKRL

23

‘‘Standard’’ Ontologies and the ‘‘n-ary’’ Problem

24

Introducing the n-ary Problem

24

The W3C Suggestions

27

A Plain ‘‘n-ary’’ Solution and Some Related Problems

31

Previous n-ary Conceptual Realizations

32

Possible Problems Affecting Existing n-ary Solutions

39

In the Guise of Winding Up

43

Chapter 2 The Knowledge Representation Strategy

48

Architecture of NKRL: the Four ‘‘Components’&rsquo

48

The Data Structures of the Four Components

51

Definitional/Enumerative Data Structures

52

General Principles of the HClass ‘‘Frames’&rsquo

52

Prototype Slots

54

Categories of Properties

57

‘‘Relation-type’’ Properties

58

‘‘Attribute-type’’ Properties

60

‘‘Procedure-type’’ Properties

61

NKRL Instances (Individuals)

62

Descriptive/Factual Data Structures

64

General Format of the Descriptive/Factual Structures

65

Semantic Predicates, Roles, Templates and Occurrences

65

Semantic Predicates as Primitives

66

Introducing the NKRL Roles

68

The NKRL Templates and the ‘‘Catalogue’&rsquo

70

Deriving a Predicative Occurrence from a Template

75

Structured Arguments and the AECS Sub-language

77

The AECS Sub-language

77

Determiners (Attributes)

79

Modulators

80

Temporal Modulators

80

Deontic Modulators

80

Modal Modulators

82

Concurrent Utilization of Several Modulators

82

Locations

84

Temporal Determiners (Attributes)

85

NKRL, Timestamps and Intervals

89

Categories and Perspectives

91

Second-order Structures

95

The Completive Construction

96

Binding Occurrences

100

The Binding Operators

100

Priority Rule and Generalization to Templates

102

Correspondence between ‘‘Expansion’’ and ‘‘Binding’’ Operators

103

Using Template Labels within Binding Structures

104

Binding Operators and Temporal Representation

106

In the Guise of Winding Up

107

Chapter 3 The Semantic and Ontological Contents

111

The Organization of the HClass Hierarchy

111

General Notions about Ontologies

111

Ontologies, Taxonomies, and Concepts

112

The Semantic Web Solutions

113

A Quick Reminder of some OWL, etc. Features

114

Some General Remarks about the Semantic Web Solutions

117

The Search for a ‘‘Standard Upper Ontology’&rsquo

121

Recent SUO-like and SUO-oriented Efforts

121

Some Examples of Upper Level Ontologies

123

HClass Architecture

131

Non-sortal Concepts

134

The ‘‘property_’’ Concepts

134

Representing the ‘‘General Quantifier’’ Concepts

136

The ‘‘NKRL idioms’’ of the property_ type

137

The ‘‘pseudo_sortal_concept’’ Concepts

140

Sortal Concepts

143

The Organization of the HTemp Hierarchy

145

Recent Examples of ‘‘Structured’’ Ontological Systems

146

Main Features of Some Specific HTemp Structures

157

Behave: Templates

158

The Behave:HumanProperty Templates

159

Acting to Obtain a Given Result

161

The Behave:Attitude Templates

163

Exist: Templates

163

Experience: Templates

167

Move: Templates

170

Own: Templates

175

Produce: Templates

177

Receive: Templates

182

In the Guise of Winding Up

185

Chapter 4 The Query and Inference Procedures

190

‘‘Search Patterns’’ and Low-level Inferences

190

The Algorithmic Structure of Fum

192

Basic Principles

193

Unification/Filtering of Expansions

194

A Possible Extension of the AECS Query Language

199

Temporal Information and Indexing

201

The Three Indexing Levels

202

The Selection Algorithm

205

High-level Inference Procedures

208

General Remarks about Some Reasoning Paradigms

210

Hypothesis Rules

212

Transformation Rules

219

Integrating the Two Main Inferencing Modes of NKRL

223

Strategies for the Coordinated Inference Processing

225

The Correspondence among Variables

226

Some Examples

228

Additional Examples

235

Some Remarks about the Software Solutions

238

Inference Rules and Internet Filtering

241

In the Guise of Winding Up

246

Chapter 5 Conclusion

251

Technological Enhancements

251

Theoretical Enhancements

254

Appendix A

257

NKRL Software

257

The Two Versions of the Software

257

The Main Interface

258

The ‘‘Visualization’’ Modules

260

The ‘‘Construction and Management’’ Modules

261

The ‘‘Querying and Inferencing’’ Modules

267

Appendix B

272

Plural Entities in NKRL

272

A General Survey of the NKRL Solution

273

Quantification of Plural Sentences

277

Final Remarks

280

References

283

Index

299