
Advances in Semantic Media Adaptation and Personalization
By: Manolis Wallace (Editor), Marios C. Angelides (Editor), Phivos Mylonas (Editor)
Hardcover | 4 January 2008
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384 Pages
23.5 x 15.88 x 1.91
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Realizing the growing importance of semantic adaptation and personalization of media, the editors of this book brought together leading researchers and practitioners of the field to discuss the state-of-the-art, and explore emerging exciting developments. This volume comprises extended versions of selected papers presented at the 1st International Workshop on Semantic Media Adaptation and Personalization (SMAP 2006), which took place in Athens in December 2006.
| Dynamic Linking of Web Resources: Customisation and Personalisation | p. 1 |
| Introduction | p. 1 |
| COHSE | p. 5 |
| Deploying COHSE | p. 6 |
| Portals | p. 8 |
| Architecture | p. 9 |
| COHSE Portlet | p. 12 |
| Personalisation | p. 14 |
| User Tasks on the Web | p. 17 |
| Related Work | p. 20 |
| Summary and Discussion | p. 21 |
| References | p. 22 |
| A Multi-Purpose Ontology-Based Approach for Personalised Content Filtering and Retrieval | p. 25 |
| Introduction | p. 25 |
| Ontology-Based Personalisation for Content Retrieval | p. 27 |
| Adaptation of Semantic User Preferences | p. 30 |
| Automatic Creation and Update of Semantic Preferences | p. 31 |
| Eploitation of Semantic Links Between Concepts for Preferences Learning | p. 33 |
| Contextual Personalisation | p. 36 |
| Context Representation | p. 36 |
| Evaluation of Personalisation in Context | p. 37 |
| Augmented Social Networking and Collaborative Filtering | p. 40 |
| Semantic Group Profiling | p. 40 |
| Semantic Social Networking | p. 43 |
| Semantic Profile Expansion for Collaborative Group Profiling | p. 46 |
| Conclusions | p. 48 |
| References | p. 49 |
| Analysing the Behaviour of Students in Learning Management Systems with Respect to Learning Styles | p. 53 |
| Introduction | p. 53 |
| Felder-Silverman Learning Style Model | p. 55 |
| Investigated Patterns of Behaviour | p. 56 |
| Design of the Study | p. 57 |
| Description of the Course | p. 57 |
| Instrument for Identifying Learning Styles | p. 58 |
| Extensions in Moodle for Tracking Students' Behaviour | p. 58 |
| Results | p. 59 |
| Behaviour Vs. Learning Style Preferences | p. 60 |
| Correlations Between Behaviour and Learning Style Preferences | p. 65 |
| Benefits | p. 68 |
| Related Work | p. 70 |
| Conclusion and Future Work | p. 71 |
| References | p. 72 |
| Improving Image Retrieval Using Semantic Resources | p. 75 |
| Introduction | p. 75 |
| Related Work | p. 77 |
| Ontological Issues | p. 79 |
| Hierarchies | p. 79 |
| Picturable Objects | p. 80 |
| Automatic Ontology Building | p. 81 |
| Visual Ontology Construction | p. 82 |
| The WordNet Nouns Hierarchy | p. 82 |
| Image Database Constitution | p. 83 |
| Image Retrieval Phase | p. 84 |
| Image Clustering | p. 88 |
| Limits | p. 90 |
| Image Processing Limitations | p. 90 |
| WordNet Coverage | p. 90 |
| Complex Queries | p. 91 |
| Quality of the Semantic Structure | p. 91 |
| Evaluation | p. 92 |
| Experimental Settings | p. 92 |
| Results | p. 92 |
| Perspectives | p. 93 |
| Conclusions | p. 94 |
| References | p. 95 |
| Implementing an Internet Image Search Service Based on the AJAX Web Programming Techniques | p. 97 |
| Introduction | p. 97 |
| Internet Programming with Asynchronous Javascript and XML | p. 98 |
| System Architecture | p. 98 |
| The User-Interface (UI) | p. 99 |
| The Query-Transmitter | p. 101 |
| The Results-Collector | p. 102 |
| The Local Repository and XML Handler | p. 103 |
| The Meta-Results Handler | p. 103 |
| Retrieving Images with Human Appearance on the Web | p. 105 |
| A Case Study | p. 105 |
| The Meta-Search Engine Performance | p. 109 |
| Asynchronous-Synchronous Analysis Performance | p. 111 |
| Conclusions: Future Considerations | p. 112 |
| References | p. 115 |
| A Rule-Based Adaption Model for Ontology-Based Personalization | p. 117 |
| Introduction | p. 117 |
| Overview of Adaptation Approaches | p. 118 |
| State-of-the-Art | p. 119 |
| On the Use of Ontologies and Rules for Adaptation | p. 119 |
| ODAS - A Domain Ontology for Adaptive Hypermedia Systems | p. 121 |
| A Rule-Based Adaptation Model | p. 122 |
| Applying Rules-Based Adaptation to a Portal | p. 122 |
| A Formal Definition of the Adaptation Model | p. 125 |
| ODAS-Based Instantiations of the Adaptation Model | p. 126 |
| Implementation and Discussion | p. 131 |
| Related Work | p. 132 |
| Conclusion | p. 133 |
| References | p. 134 |
| Management and Processing of Personalized Annotations in Image Retrieval Systems | p. 137 |
| Motivation | p. 137 |
| Image Annotation Process | p. 139 |
| Multi-level Annotation Model | p. 140 |
| Subjectivity in Image Annotations | p. 142 |
| Components of the Annotation Analysis Framework | p. 143 |
| Graph Representation for Multi-level Annotations | p. 144 |
| Relations Between Terms of Annotation | p. 148 |
| Extending the Probabilistic Annotation by Multi-level Annotations | p. 149 |
| Example of Context-Based Similarity | p. 151 |
| Related Work | p. 152 |
| Summary and Future Work | p. 153 |
| References | p. 153 |
| An Incremental Framework for Adapting the Hypermedia Structure of Multimedia Documents | p. 157 |
| Introduction | p. 157 |
| Multimedia Document Specification | p. 158 |
| Semantic Adaptation of Multimedia Documents | p. 159 |
| Adaptation of the Hypermedia Dimension | p. 162 |
| Adaptation Based on the Hypermedia Structure | p. 165 |
| Generating the Multimedia Document Sub-Specifications According to the Hypermedia Structure | p. 166 |
| Adapting All Sub-Specifications at Once | p. 166 |
| Adapting Sub-Specifications Step by Step | p. 168 |
| Implementation | p. 169 |
| Application to Concrete Multimedia Documents | p. 170 |
| Concrete Multimedia Documents Adaptation | p. 171 |
| Prototype | p. 172 |
| Related Work | p. 173 |
| Conclusion | p. 174 |
| References | p. 175 |
| Improving the Adaptiveness of an e-Learning System | p. 177 |
| Introduction | p. 177 |
| Web-Based Intelligent Education Systems | p. 178 |
| Medical Education | p. 178 |
| Cognitive Flexibility Theory | p. 179 |
| The Motivation | p. 180 |
| The COFALE Environment | p. 181 |
| Extending COFALE | p. 182 |
| Domain Knowledge | p. 182 |
| Test Creation | p. 182 |
| Student Assessment | p. 185 |
| Architecture and Implementation Aspects | p. 188 |
| System Evaluation | p. 190 |
| Related Work | p. 192 |
| Conclusions | p. 194 |
| References | p. 195 |
| The Context Oriented Architecture: An Augmentation of Context Awareness and Reactivity into Web Services | p. 199 |
| Introduction | p. 199 |
| Related Work | p. 201 |
| Context Defined | p. 201 |
| OWL-S: The Semantic Web Service Ontology Language | p. 203 |
| Context Awareness Infrastructures | p. 204 |
| Context Aware Web Services | p. 204 |
| The Context Oriented Architecture | p. 206 |
| The Negotiator | p. 208 |
| The Context Sensors | p. 208 |
| The Monitor | p. 208 |
| The Context Response | p. 208 |
| The Response Manager | p. 209 |
| The Component Registry | p. 209 |
| The Context Repository | p. 209 |
| Usage Scenario | p. 210 |
| OWL-S Extension | p. 211 |
| Profile Ontology Extension | p. 212 |
| Monitors Attribute | p. 212 |
| Uses Attribute | p. 212 |
| Responds Attribute | p. 213 |
| Process Model Extension | p. 213 |
| Exposes Attribute in the Process Model | p. 214 |
| Results and Analysis: The File Storage Scenario | p. 215 |
| Scenario Context | p. 215 |
| Scenario Formalization in the Framework | p. 216 |
| Semantic Model | p. 216 |
| Interaction Model | p. 216 |
| Conclusion | p. 218 |
| References | p. 219 |
| Knowledge-Assisted Analysis of Video for Content-Adaptive Coding and Transmission | p. 221 |
| Introduction | p. 221 |
| Domain Knowledge | p. 224 |
| Knowledge-Assisted Video Analysis | p. 226 |
| Color and Motion Initial Segmentation | p. 226 |
| Low-level Descriptors Extraction | p. 227 |
| Genetic Algorithm | p. 228 |
| Content-Adaptive Coding and Transmission | p. 230 |
| Basic Problem Formulation | p. 230 |
| Channel Rate Optimization for Wireless Transmission Scenarios | p. 232 |
| Experimental Results | p. 235 |
| Conclusions | p. 238 |
| References | p. 238 |
| Mobile Photography within a Social Context | p. 241 |
| Introduction | p. 241 |
| Related Work | p. 244 |
| Case Study | p. 245 |
| Using PhotoFOAF for Social Photo Management | p. 247 |
| Photo Production Phase | p. 247 |
| Photo Consumption Phase | p. 248 |
| Determining Social Relevance | p. 250 |
| Embedded Metadata | p. 254 |
| System architecture | p. 255 |
| Social Network Visualization Experiments | p. 256 |
| Conclusions and Future Work | p. 258 |
| References | p. 259 |
| An Adaptive Semantic Framework to Support Multiple User Viewpoints over Multiple Databases | p. 261 |
| Introduction | p. 261 |
| Information Heterogeneity | p. 262 |
| Outline of the Chapter | p. 263 |
| Related Work | p. 263 |
| Logical Data Views vs. User Views | p. 263 |
| Integrating Semantics, Rules, Logic and Databases | p. 265 |
| A Multiple Viewpoint Semantic Framework | p. 267 |
| Viewpoint Conceptualisation | p. 269 |
| Semantic Mapping | p. 270 |
| The Process to Project a Viewpoint | p. 271 |
| Modelling Individual Users | p. 273 |
| View-Based Query Answering and Result Adjustment | p. 274 |
| Applying Preference and Rules in Query Answering | p. 277 |
| User-Centre Query Answering | p. 278 |
| Implementation and Validation | p. 280 |
| Conclusions and Further Work | p. 282 |
| References | p. 283 |
| User Preferences for Access to Textual Information: Model, Tools and Experiments | p. 285 |
| Introduction | p. 285 |
| Motivations | p. 286 |
| Textual Information and Users' Point of View | p. 286 |
| Visual and Interactive Tools for Access to Textual Information | p. 287 |
| Our Approach | p. 289 |
| Models and Tools | p. 289 |
| LUCIA: A Model for Representing User's Knowledge on Domains | p. 289 |
| User-Centred Tools | p. 291 |
| Experiment 1: Accessing Information | p. 294 |
| Context and Materials | p. 294 |
| Results and Discussion | p. 295 |
| Experiment 2: Conceptual Metaphors | p. 298 |
| Constraints on the Model for Metaphor Characterisation | p. 298 |
| Map and Texts "Metaphoricity" | p. 300 |
| Conclusion | p. 302 |
| References | p. 303 |
| Modeling the Reusable Content of Adaptive Web-Based Applications Using an Ontology | p. 307 |
| Introduction | p. 307 |
| Related Work | p. 309 |
| Content Representation | p. 309 |
| Content Transformation | p. 310 |
| Development of Reusable Content | p. 311 |
| The Method for Domain Modeling | p. 312 |
| Importing Existing Domain Model Ontologies | p. 314 |
| Delivering Ontology Content into Existing Adaptive Application | p. 315 |
| Ontology Models of the Content | p. 316 |
| Core Ontology of Content Model | p. 316 |
| Domain and User Models Interconnection | p. 321 |
| Meta-Model of the Adaptive Application Content | p. 322 |
| Evaluation of Proposed Method | p. 322 |
| Conclusions | p. 325 |
| References | p. 325 |
| Indexing and Browsing of Color Images: Design Considerations | p. 329 |
| Introduction | p. 329 |
| Color Descriptors and Similarity Measures | p. 331 |
| Histogram and Dominant Color | p. 331 |
| Distance Metrics | p. 332 |
| Indexing and Dimensionality | p. 334 |
| Limits of kd-Tree Effectiveness | p. 335 |
| Point Configurations | p. 335 |
| MDS and FastMap | p. 337 |
| Browsing | p. 337 |
| Efficiency of FastMap Configurations | p. 338 |
| Conclusions | p. 343 |
| References | p. 345 |
| Generic Personal Assistance Architecture for Mobile Environments | p. 347 |
| Introduction | p. 347 |
| Related Work | p. 348 |
| Personal Task Model | p. 350 |
| Personal Assistant | p. 352 |
| Goal Description | p. 353 |
| Situation Influence by Task Execution | p. 354 |
| Task Generation | p. 355 |
| Situation Dependent Task Suggestion | p. 357 |
| Control Circuit | p. 358 |
| Personal Assistance Architecture | p. 358 |
| Proof of Concept-Applications | p. 360 |
| xGuide: Electronic Exhibition Guide | p. 360 |
| Applied Task Definition | p. 361 |
| StepMan | p. 361 |
| Personal Assistant DiaTrace | p. 363 |
| Mobile Personal Trainer | p. 365 |
| Outcome Analysis | p. 366 |
| Conclusion and Further Work | p. 367 |
| References | p. 367 |
| Table of Contents provided by Ingram. All Rights Reserved. |
ISBN: 9783540763598
ISBN-10: 3540763597
Series: Studies in Computational Intelligence
Published: 4th January 2008
Format: Hardcover
Language: English
Number of Pages: 384
Audience: Professional and Scholarly
Publisher: Springer Nature B.V.
Country of Publication: DE
Dimensions (cm): 23.5 x 15.88 x 1.91
Weight (kg): 0.64
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