What is included with this book?
Introduction | |
Computational Knowledge and Ontology | p. 3 |
What Is Knowledge? | p. 3 |
Computational Knowledge in Information Systems | p. 3 |
Knowledge Engineering | p. 4 |
Knowledge Representation | p. 4 |
What Is Ontology? | p. 6 |
Ontology Modeling in Computer Systems | p. 7 |
Computational Ontology Representation | p. 7 |
Top-Level Ontologies | p. 8 |
Lexical Ontologies | p. 9 |
Domain Ontologies | p. 11 |
Ontology Engineering | p. 13 |
Introduction | p. 13 |
Ontology Fundamentals | p. 14 |
Ontological Structure | p. 14 |
Ontological Taxonomy | p. 15 |
Ontological Relations | p. 16 |
Lexical Relations | p. 18 |
Ontology Engineering Tools | p. 19 |
Protégé ontology editor | p. 20 |
Ontology Learning from Text | p. 21 |
Learning Terminology | p. 23 |
Learning Taxonomy | p. 25 |
Text Information Retrieval | p. 27 |
Information Retrieval Model | p. 27 |
Term Weighting Model | p. 27 |
Text Classification | p. 28 |
Text Clustering | p. 31 |
Feature Selection and Reduction | p. 32 |
Search Engine Modeling | p. 34 |
Evaluation Methods | p. 35 |
Performance measurement | p. 36 |
Web Data Semantics | p. 37 |
Semantic Web | p. 37 |
W3C Semantic Web | p. 39 |
Semantic Modeling | p. 40 |
Taxonomy | p. 41 |
Thesaurus | p. 41 |
Topic Maps | p. 42 |
Ontology | p. 43 |
Ontology Languages for the Semantic Web | p. 44 |
Semantic Annotation and Information Retrieval | p. 46 |
KnowledgeSeeker: An Ontology Modeling and Learning Framework | |
Ontology Modeling Framework | p. 49 |
KnowledgeSeeker - The System Overviews | p. 49 |
Background of Signs System and Ontology | p. 51 |
The Semiotics | p. 51 |
The Sign System for Concept Formation | p. 54 |
The Meaning of Words | p. 56 |
The Semantics of Relations | p. 57 |
Ontology Graph Overviews | p. 59 |
Nodes in Ontology Graph | p. 60 |
Term Nodes in Ontology Graph | p. 62 |
Words Function | p. 64 |
The Function of Language | p. 64 |
Understanding and Feeling | p. 65 |
Meaning and Information | p. 67 |
The Implementation of Ontology Graph | p. 68 |
The Conceptual Structure of Ontology Graph | p. 68 |
Conceptual Units in Ontology Graph | p. 69 |
The Class Diagram of Ontology Graph | p. 69 |
Ontology Learning in Chinese Text | p. 71 |
The Ontology Learning Method | p. 71 |
Term Extraction | p. 72 |
Term-to-Class Relationship Mapping | p. 73 |
Term-to-Class Independency Measurement by X2 | p. 73 |
Term-to-Class Positive and Negative Dependency Measurement by R | p. 78 |
Term-to-Term Relationship Mapping | p. 81 |
Term-to-Term Independency Measurement by X2 | p. 83 |
Concept Clustering | p. 91 |
Sample Result of Domain Ontology Graph Generation (10 Domains) | p. 96 |
Ontology Graph Generation Process | p. 99 |
Ontology in Information Systems | p. 99 |
Ontology Graph Generation Process in KnowledgeSeeker | p. 100 |
Definition of Ontology Graph Structure | p. 101 |
Domain Ontology Graph Generation Process | p. 103 |
Document Ontology Graph Generation | p. 105 |
Automatic Generation of Domain Ontology Graph | p. 107 |
Experimental Setup | p. 108 |
Experimental Results | p. 110 |
Ontology Graph Operations | p. 121 |
Ontology Graph Matching and Querying Process | p. 121 |
Introduction to Ontology Matching and Mapping | p. 121 |
Ontology Graph Matching Methods | p. 122 |
Semantic Mapping Function | p. 122 |
Similarity Measurement Function | p. 123 |
Matching Different Components with Ontology Graph | p. 124 |
Matching Terms to Domain Ontology Graph | p. 125 |
Matching Text Document to Domain Ontology Graph | p. 128 |
Ontology Graph Based Similarity Measurement | p. 132 |
Matching Two Document Ontology Graphs | p. 134 |
Overviews of Ontology Graph Based Querying | p. 137 |
Ontology Graph Querying Methods | p. 137 |
Operations in Ontology Graph Based Querying | p. 137 |
Querying Document with Document Ontology Graph | p. 138 |
KnowledgeSeeker Applications | |
Ontology Graph Based Approach for Automatic Chinese Text Classification | p. 145 |
Introduction | p. 145 |
Methodologies | p. 147 |
Ontology Graphs Reviews | p. 147 |
Classification Algorithm | p. 148 |
Experiments | p. 149 |
Experiment Description | p. 150 |
Evaluate the Performance of Ontology-Graph Based Approach (Experiment 1) | p. 150 |
Evaluate the Optimal Size of Domain Ontology Graph for Best Classification Result (Experiment 2) | p. 151 |
Evaluate the Effects for Setting Different Thresholds of weight of Domain Ontology Graph (Experiment 3) | p. 151 |
Evaluation Method | p. 151 |
Performance on Ontology Graph Based Text Classification | p. 152 |
Experimental Results | p. 153 |
Performance on Ontology Graph Based Text Classification (Experiment 1) | p. 153 |
Performance on Using Different Size of Terms (Dimensionality) for Text Classification (Experiment 2) | p. 156 |
Result of Using Different Thresholds of Weight of Domain Ontology Graphs (Experiment 3) | p. 161 |
Combining the Results and Optimizing the Parameters for the Text Classification Experiments | p. 163 |
IATOPIA iCMS KnowledgeSeeker - An Integrated Content Management System and Digital Asset Management System (DAMS) | p. 165 |
IATOPIA iCMS KnowledgeSeeker | p. 165 |
System Features | p. 165 |
System Model and Architecture | p. 166 |
Ontology System | p. 168 |
Search Indexing System | p. 168 |
IATOPIA Search Engine | p. 169 |
IATOPIA Digital Asset Management System (DAMS) | p. 170 |
DAMS System Architecture Overview | p. 170 |
IATOIPA iCMS Databank Cluster in DAMS | p. 170 |
Ontology System in DAMS | p. 171 |
DAMS and Web Channel Interface Examples | p. 172 |
IATOPIA News Channel (IAToNews) - An Intelligent Ontological Agent-Based Web News Retrieval and Search System | p. 175 |
Introduction | p. 175 |
lAToNews System Architecture Overview | p. 175 |
Ontology System in IAToNews | p. 176 |
Article Ontology | p. 177 |
Topic Ontology | p. 178 |
Ontology Based Content Indexing | p. 178 |
lAToNews Web Interface Examples | p. 179 |
Collaborative Content and User-Based Web Ontology Learning System | p. 181 |
Introduction | p. 181 |
Background | p. 182 |
Problem of Building a Generalized Ontology to Satisfy Daily Life | p. 182 |
Semantic Web | p. 182 |
Web Channels | p. 182 |
BuBo (Feedback, Personalization with User Ontology | p. 183 |
Methodology | p. 133 |
Overview of System Architecture | p. 183 |
Content-Based Ontology Learning Process | p. 184 |
User-Based Ontology Personalization Process | p. 187 |
Implementation | p. 192 |
Architecture of the Collaborative System Implementation | p. 192 |
Structure of the Specified Domains Ontology with Generalized OG | p. 193 |
Ontology-Based Search Engine Within BuBo | p. 194 |
Conclusions | p. 194 |
References | p. 195 |
Appendix | p. 211 |
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