9783540763598

Advances in Semantic Media Adaptation and Personalization

by ; ;
  • ISBN13:

    9783540763598

  • ISBN10:

    3540763597

  • Format: Hardcover
  • Copyright: 2008-02-01
  • Publisher: Springer Verlag
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Summary

The series Studies in Computational Intelligence (SCI) publishes new developments and advances in the various areas of computational intelligence - quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and worldwide distribution - this permits a rapid and broad dissemination of research results.

Table of Contents

Dynamic Linking of Web Resources: Customisation and Personalisationp. 1
Introductionp. 1
COHSEp. 5
Deploying COHSEp. 6
Portalsp. 8
Architecturep. 9
COHSE Portletp. 12
Personalisationp. 14
User Tasks on the Webp. 17
Related Workp. 20
Summary and Discussionp. 21
Referencesp. 22
A Multi-Purpose Ontology-Based Approach for Personalised Content Filtering and Retrievalp. 25
Introductionp. 25
Ontology-Based Personalisation for Content Retrievalp. 27
Adaptation of Semantic User Preferencesp. 30
Automatic Creation and Update of Semantic Preferencesp. 31
Eploitation of Semantic Links Between Concepts for Preferences Learningp. 33
Contextual Personalisationp. 36
Context Representationp. 36
Evaluation of Personalisation in Contextp. 37
Augmented Social Networking and Collaborative Filteringp. 40
Semantic Group Profilingp. 40
Semantic Social Networkingp. 43
Semantic Profile Expansion for Collaborative Group Profilingp. 46
Conclusionsp. 48
Referencesp. 49
Analysing the Behaviour of Students in Learning Management Systems with Respect to Learning Stylesp. 53
Introductionp. 53
Felder-Silverman Learning Style Modelp. 55
Investigated Patterns of Behaviourp. 56
Design of the Studyp. 57
Description of the Coursep. 57
Instrument for Identifying Learning Stylesp. 58
Extensions in Moodle for Tracking Students' Behaviourp. 58
Resultsp. 59
Behaviour Vs. Learning Style Preferencesp. 60
Correlations Between Behaviour and Learning Style Preferencesp. 65
Benefitsp. 68
Related Workp. 70
Conclusion and Future Workp. 71
Referencesp. 72
Improving Image Retrieval Using Semantic Resourcesp. 75
Introductionp. 75
Related Workp. 77
Ontological Issuesp. 79
Hierarchiesp. 79
Picturable Objectsp. 80
Automatic Ontology Buildingp. 81
Visual Ontology Constructionp. 82
The WordNet Nouns Hierarchyp. 82
Image Database Constitutionp. 83
Image Retrieval Phasep. 84
Image Clusteringp. 88
Limitsp. 90
Image Processing Limitationsp. 90
WordNet Coveragep. 90
Complex Queriesp. 91
Quality of the Semantic Structurep. 91
Evaluationp. 92
Experimental Settingsp. 92
Resultsp. 92
Perspectivesp. 93
Conclusionsp. 94
Referencesp. 95
Implementing an Internet Image Search Service Based on the AJAX Web Programming Techniquesp. 97
Introductionp. 97
Internet Programming with Asynchronous Javascript and XMLp. 98
System Architecturep. 98
The User-Interface (UI)p. 99
The Query-Transmitterp. 101
The Results-Collectorp. 102
The Local Repository and XML Handlerp. 103
The Meta-Results Handlerp. 103
Retrieving Images with Human Appearance on the Webp. 105
A Case Studyp. 105
The Meta-Search Engine Performancep. 109
Asynchronous-Synchronous Analysis Performancep. 111
Conclusions: Future Considerationsp. 112
Referencesp. 115
A Rule-Based Adaption Model for Ontology-Based Personalizationp. 117
Introductionp. 117
Overview of Adaptation Approachesp. 118
State-of-the-Artp. 119
On the Use of Ontologies and Rules for Adaptationp. 119
ODAS - A Domain Ontology for Adaptive Hypermedia Systemsp. 121
A Rule-Based Adaptation Modelp. 122
Applying Rules-Based Adaptation to a Portalp. 122
A Formal Definition of the Adaptation Modelp. 125
ODAS-Based Instantiations of the Adaptation Modelp. 126
Implementation and Discussionp. 131
Related Workp. 132
Conclusionp. 133
Referencesp. 134
Management and Processing of Personalized Annotations in Image Retrieval Systemsp. 137
Motivationp. 137
Image Annotation Processp. 139
Multi-level Annotation Modelp. 140
Subjectivity in Image Annotationsp. 142
Components of the Annotation Analysis Frameworkp. 143
Graph Representation for Multi-level Annotationsp. 144
Relations Between Terms of Annotationp. 148
Extending the Probabilistic Annotation by Multi-level Annotationsp. 149
Example of Context-Based Similarityp. 151
Related Workp. 152
Summary and Future Workp. 153
Referencesp. 153
An Incremental Framework for Adapting the Hypermedia Structure of Multimedia Documentsp. 157
Introductionp. 157
Multimedia Document Specificationp. 158
Semantic Adaptation of Multimedia Documentsp. 159
Adaptation of the Hypermedia Dimensionp. 162
Adaptation Based on the Hypermedia Structurep. 165
Generating the Multimedia Document Sub-Specifications According to the Hypermedia Structurep. 166
Adapting All Sub-Specifications at Oncep. 166
Adapting Sub-Specifications Step by Stepp. 168
Implementationp. 169
Application to Concrete Multimedia Documentsp. 170
Concrete Multimedia Documents Adaptationp. 171
Prototypep. 172
Related Workp. 173
Conclusionp. 174
Referencesp. 175
Improving the Adaptiveness of an e-Learning Systemp. 177
Introductionp. 177
Web-Based Intelligent Education Systemsp. 178
Medical Educationp. 178
Cognitive Flexibility Theoryp. 179
The Motivationp. 180
The COFALE Environmentp. 181
Extending COFALEp. 182
Domain Knowledgep. 182
Test Creationp. 182
Student Assessmentp. 185
Architecture and Implementation Aspectsp. 188
System Evaluationp. 190
Related Workp. 192
Conclusionsp. 194
Referencesp. 195
The Context Oriented Architecture: An Augmentation of Context Awareness and Reactivity into Web Servicesp. 199
Introductionp. 199
Related Workp. 201
Context Definedp. 201
OWL-S: The Semantic Web Service Ontology Languagep. 203
Context Awareness Infrastructuresp. 204
Context Aware Web Servicesp. 204
The Context Oriented Architecturep. 206
The Negotiatorp. 208
The Context Sensorsp. 208
The Monitorp. 208
The Context Responsep. 208
The Response Managerp. 209
The Component Registryp. 209
The Context Repositoryp. 209
Usage Scenariop. 210
OWL-S Extensionp. 211
Profile Ontology Extensionp. 212
Monitors Attributep. 212
Uses Attributep. 212
Responds Attributep. 213
Process Model Extensionp. 213
Exposes Attribute in the Process Modelp. 214
Results and Analysis: The File Storage Scenariop. 215
Scenario Contextp. 215
Scenario Formalization in the Frameworkp. 216
Semantic Modelp. 216
Interaction Modelp. 216
Conclusionp. 218
Referencesp. 219
Knowledge-Assisted Analysis of Video for Content-Adaptive Coding and Transmissionp. 221
Introductionp. 221
Domain Knowledgep. 224
Knowledge-Assisted Video Analysisp. 226
Color and Motion Initial Segmentationp. 226
Low-level Descriptors Extractionp. 227
Genetic Algorithmp. 228
Content-Adaptive Coding and Transmissionp. 230
Basic Problem Formulationp. 230
Channel Rate Optimization for Wireless Transmission Scenariosp. 232
Experimental Resultsp. 235
Conclusionsp. 238
Referencesp. 238
Mobile Photography within a Social Contextp. 241
Introductionp. 241
Related Workp. 244
Case Studyp. 245
Using PhotoFOAF for Social Photo Managementp. 247
Photo Production Phasep. 247
Photo Consumption Phasep. 248
Determining Social Relevancep. 250
Embedded Metadatap. 254
System architecturep. 255
Social Network Visualization Experimentsp. 256
Conclusions and Future Workp. 258
Referencesp. 259
An Adaptive Semantic Framework to Support Multiple User Viewpoints over Multiple Databasesp. 261
Introductionp. 261
Information Heterogeneityp. 262
Outline of the Chapterp. 263
Related Workp. 263
Logical Data Views vs. User Viewsp. 263
Integrating Semantics, Rules, Logic and Databasesp. 265
A Multiple Viewpoint Semantic Frameworkp. 267
Viewpoint Conceptualisationp. 269
Semantic Mappingp. 270
The Process to Project a Viewpointp. 271
Modelling Individual Usersp. 273
View-Based Query Answering and Result Adjustmentp. 274
Applying Preference and Rules in Query Answeringp. 277
User-Centre Query Answeringp. 278
Implementation and Validationp. 280
Conclusions and Further Workp. 282
Referencesp. 283
User Preferences for Access to Textual Information: Model, Tools and Experimentsp. 285
Introductionp. 285
Motivationsp. 286
Textual Information and Users' Point of Viewp. 286
Visual and Interactive Tools for Access to Textual Informationp. 287
Our Approachp. 289
Models and Toolsp. 289
LUCIA: A Model for Representing User's Knowledge on Domainsp. 289
User-Centred Toolsp. 291
Experiment 1: Accessing Informationp. 294
Context and Materialsp. 294
Results and Discussionp. 295
Experiment 2: Conceptual Metaphorsp. 298
Constraints on the Model for Metaphor Characterisationp. 298
Map and Texts "Metaphoricity"p. 300
Conclusionp. 302
Referencesp. 303
Modeling the Reusable Content of Adaptive Web-Based Applications Using an Ontologyp. 307
Introductionp. 307
Related Workp. 309
Content Representationp. 309
Content Transformationp. 310
Development of Reusable Contentp. 311
The Method for Domain Modelingp. 312
Importing Existing Domain Model Ontologiesp. 314
Delivering Ontology Content into Existing Adaptive Applicationp. 315
Ontology Models of the Contentp. 316
Core Ontology of Content Modelp. 316
Domain and User Models Interconnectionp. 321
Meta-Model of the Adaptive Application Contentp. 322
Evaluation of Proposed Methodp. 322
Conclusionsp. 325
Referencesp. 325
Indexing and Browsing of Color Images: Design Considerationsp. 329
Introductionp. 329
Color Descriptors and Similarity Measuresp. 331
Histogram and Dominant Colorp. 331
Distance Metricsp. 332
Indexing and Dimensionalityp. 334
Limits of kd-Tree Effectivenessp. 335
Point Configurationsp. 335
MDS and FastMapp. 337
Browsingp. 337
Efficiency of FastMap Configurationsp. 338
Conclusionsp. 343
Referencesp. 345
Generic Personal Assistance Architecture for Mobile Environmentsp. 347
Introductionp. 347
Related Workp. 348
Personal Task Modelp. 350
Personal Assistantp. 352
Goal Descriptionp. 353
Situation Influence by Task Executionp. 354
Task Generationp. 355
Situation Dependent Task Suggestionp. 357
Control Circuitp. 358
Personal Assistance Architecturep. 358
Proof of Concept-Applicationsp. 360
xGuide: Electronic Exhibition Guidep. 360
Applied Task Definitionp. 361
StepManp. 361
Personal Assistant DiaTracep. 363
Mobile Personal Trainerp. 365
Outcome Analysisp. 366
Conclusion and Further Workp. 367
Referencesp. 367
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