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9780521886598

Ontology and the Lexicon: A Natural Language Processing Perspective

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  • ISBN13:

    9780521886598

  • ISBN10:

    0521886597

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2010-04-30
  • Publisher: Cambridge University Press

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Summary

The relation between ontologies and language is currently at the forefront of natural language processing (NLP). Ontologies, as widely used models in semantic technologies, have much in common with the lexicon. A lexicon organizes words as a conventional inventory of concepts, while an ontology formalizes concepts and their logical relations. A shared lexicon is the prerequisite for knowledge-sharing through language, and a shared ontology is the prerequisite for knowledge-sharing through information technology. In building models of language, computational linguists must be able to accurately map the relations between words and the concepts that they can be linked to. This book focuses on the technology involved in enabling integration between lexical resources and semantic technologies. It will be of interest to researchers and graduate students in NLP, computational linguistics, and knowledge engineering, as well as in semantics, psycholinguistics, lexicology and morphology/syntax.

Author Biography

Chu-Ren Huang is Chair Professor in the Department of Chinese and Bilingual Studies at the Hong Kong Polytechnic University, and Research Fellow at the Institute of Linguistics, Academia Sinica in Taiwan. Nicoletta Calzolari is Director of Research in Instituto di Linguistica Computazionale at the CNR in Italy. Aldo Gangemi is senior researcher at the Institute of Cognitive Science and Technology of CNR (Italy), and coordinator of the Semantic Technology Lab. Alessandro Lenci is a researcher in the Department of Linguistics at the University of Pisa. Alessandro Oltramari is a Research Fellow in the Laboratory for Applied Ontology, Institute of Cognitive Science and Technology at the Italian National Research Council. Laurent Prvot is an Associate Professor at the Universit de Provence.

Table of Contents

Contributorsp. xi
Prefacep. xvii
Fundamental aspectsp. 1
Ontology and the lexicon: a multidisciplinary perspectivep. 3
Situating ontologies and lexical resourcesp. 3
The content of ontologiesp. 10
Theoretical framework for the ontologies/lexicons interfacep. 14
From ontologies to the lexicon and backp. 21
Outline of chaptersp. 23
Formal ontology as interlingua: the SUMO and WordNet linking project and global WordNetp. 25
WordNetp. 25
Principles of construction of formal ontologies and lexiconsp. 29
Mappingsp. 30
Interpreting languagep. 32
Global WordNetp. 33
SUMO translation templatesp. 35
Interfacing WordNet with DOLCE: towards Onto WordNetp. 36
Introductionp. 36
WordNet's preliminary analysisp. 37
The DOLCE upper ontologyp. 39
Mapping WordNet into DOLCEp. 48
Conclusionp. 52
Reasoning over natural language text by means of FrameNet and ontologiesp. 53
Introductionp. 53
An introduction to the FrameNet lexiconp. 54
Linking FrameNet to ontologies for reasoningp. 56
Formalizing FrameNet in OWL DLp. 57
Reasoning over FrameNet-annotated textp. 62
Linking FrameNet to SUMOp. 66
Discussionp. 69
Conclusion and outlookp. 70
Synergizing ontologies and the lexicon: a roadmapp. 72
Formal mappings between ontologiesp. 72
Evaluation of ontolex resourcesp. 73
Bridging different lexical models and resourcesp. 75
Technological frameworkp. 77
Discovery and representation of conceptual systemsp. 79
Experiments of ontology construction with Formal Concept Analysisp. 81
Introductionp. 81
Basic concepts and related workp. 82
Dataset selection and design of experimentsp. 86
Evaluation and discussionp. 92
Conclusion and future workp. 96
Ontology, lexicon, and fact repository as leveraged to interpret events of changep. 98
Introductionp. 98
A snapshot of OntoSemp. 100
Motivation for pursuing deep analysis of events of changep. 101
Increasep. 102
Content divorced from its renderingp. 114
NLP with reasoning and for reasoningp. 117
Conclusionp. 118
Hantology: Conceptual system discovery based on orthographic conventionp. 122
Introduction: hanzi and conventionalized conceptualizationp. 122
General frameworkp. 126
Conceptualization and classification of the radicals systemp. 128
The ontology of a radical as a semantic symbolp. 132
The architecture of Hantologyp. 133
OWL encoding of Hantologyp. 137
Summaryp. 139
Conclusionp. 142
What's in a schema?p. 144
Introductionp. 144
An ontology for cognitive linguisticsp. 146
The c.DnS ontologyp. 148
Schemata, mental spaces, and constructionsp. 161
An embodied semiotic metamodelp. 166
Applying Semion to FrameNet and related resourcesp. 169
Conclusionp. 181
Interfacing ontologies and lexical resourcesp. 183
Interfacing ontologies and lexical resourcesp. 185
Introductionp. 185
Classifying experiments in ontologies and lexical resourcesp. 185
Ontologies and their constructionp. 188
How actual resources fit the classificationp. 190
Two practical examplesp. 194
Available tools for the ontology lexical resource interfacep. 196
Conclusionp. 200
Sinica BOW (Bilingual Ontological WordNet): integration of bilingual WordNet and SUMOp. 201
Background and motivationp. 201
Resources and structure required in the BOW approachp. 202
Interfacing multiple resources: a lexicon-driven approachp. 204
Integration of multiple knowledge sourcesp. 207
Updating and future improvementsp. 209
Conclusionp. 210
Ontology-based semantic lexicons: mapping between terms and object descriptionsp. 212
Introductionp. 212
Why we need semantic lexiconsp. 213
More semantics than we needp. 215
The semantics we need is in ontologiesp. 218
Conclusionp. 223
Merging global and specialized linguistic ontologiesp. 224
Introductionp. 224
Linguistic ontologies versus formal ontologiesp. 226
Specialized linguistic ontologiesp. 229
The plug-in approachp. 230
Experimentsp. 236
Applications and extensionsp. 237
Conclusionp. 238
Learning and using ontological knowledgep. 239
The life cycle of knowledgep. 241
Introductionp. 241
Using ontolexical knowledge in NLPp. 242
Creating ontolexical knowledge with NLPp. 249
Conclusionp. 256
The Omega ontologyp. 258
Introductionp. 258
Constituents of Omegap. 258
Structure of Omegap. 260
Construction of Omega via mergingp. 263
Omega's auxiliary knowledge sourcesp. 264
Applicationsp. 266
Omega 5 and the OntoNotes projectp. 267
Discussion and future workp. 268
Conclusionp. 269
Automatic acquisition of lexico-semantic knowledge for question answeringp. 271
Introductionp. 271
Lexico-semantic knowledge for QAp. 272
Related workp. 274
Extracting semantically similar wordsp. 275
Using automatically acquired role and function wordsp. 279
Using automatically acquired categorized NEsp. 280
Evaluationp. 283
Conclusion and future workp. 286
Agricultural ontology construction and maintenance in Thaip. 288
Introductionp. 288
A framework of ontology construction and maintenancep. 290
Ontology acquisition from textsp. 291
Ontology acquisitions from a dictionary and a thesaurusp. 301
Integration into an ontological treep. 306
Conclusionp. 307
Referencesp. 309
Indexp. 335
Table of Contents provided by Ingram. All Rights Reserved.

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