Metadata and Semantic Research (eBook)

Third International Conference, MTSR 2009, Milan, Italy, October 1-2, 2009. Proceedings

Fabio Sartori, Miguel-Angel Sicilia, Nikos Manouselis (Eds.) (Herausgeber)

eBook Download: PDF

2009 | 1. Auflage
XIII, 340 Seiten
Springer-Verlag
978-3-642-04590-5 (ISBN)

Infos

This volume constitutes the selected paqpers of the third international conference on Metadata and Semantic Research, MTSR 2009, held in Milan, Italy, in September/October 2009. In order to give a novel perspective in which both theoretical and application aspects of metadata research contribute in the growth of the area, this book mirrors the structure of the Congress, grouping the papers into three main categories: 1) theoretical research: results and proposals, 2) applications: case studies and proposals, 3) special track: metadata and semantics for agriculture, food and environment. The book contains 32 full papers (10 for the first category, 10 for the second and 12 for the third), selected from a preliminary initial set of about 70 submissions.

Inhalt

Preface 5
Organization 6
Table of Contents 9
Theoretical Research: Results and Proposals 9
VMAP: A Dublin Core Application Profile for Musical Resources 12
Introduction 12
Limitation of Metadata Standards for Musical Assets 13
Metadata Modelling for Musical Resources Using FRBR 15
Conclusions and Future Work 21
References 21
Usage-Oriented Topic Maps Building Approach 24
Introduction 24
An Overview of Our Multilingual Topic Map Construction Approach 25
The Topic Map Building and Validation Steps 27
The Topic Map Building Step 27
The Topic Map Validation Step 28
The Topic Map Integration Step 29
Related Works 31
Conclusion and Future Work 32
References 32
ManagemOnt: A Semantic Approach to Software Engineering Management Process 35
Introduction 35
Motivation 36
Semantic Software Engineering Processes 37
Software Engineering Management Meta-model 39
Software Engineering Management Ontology 40
Future Work 43
Conclusions 43
References 44
Clarifying the Semantics of Relationships between Learning Objects 46
Introduction 46
Critical Review of Relationships in LOM 47
Related Work 50
Impact of Relationships in the Metadata 1.7 Structure 52
Modeling Relationships 54
Conclusions 56
References 57
A Framework for Automatizing and Optimizing the Selection of Indexing Algorithms 59
Introduction 59
Related Work 60
A Generic Framework for Selecting Indexing Algorithms 62
Determining Indexing Algorithms According to a Query 62
Concrete Application Domains 64
Application to Structured Metadata 65
Application to RDF-Based Descriptions 65
Optimizations and Discussions 67
Conclusion 68
References 69
Empirical Analysis of Errors on Human-Generated Learning Objects Metadata 71
Introduction 71
Quality of Learning Objects Metadata 72
Data Description 73
Methodology 73
Groups of Errors 73
Results 75
General Overview 77
Errors and Level of Knowledge about Categories 78
Category 3.Meta-metadata: 78
Category 9.Classification: 79
Conclusions and Future Work 80
References 81
Analysis of Educational Metadata Supporting Complex Learning Processes 82
Introduction 82
Design, Execution and Control of Complex Learning Processes 83
Related Work on Learning Process Design and Execution 83
An Extended Characterization of Complex Learning Processes 85
Workflow Control Patterns-Based Analysis of EMLs 85
Workflow Control Patterns 86
Learning Process Analysis Based on Workflow Control Patterns 87
Case Study: Wrapping a Learning Design with LPCEL Metadata Primitives 90
Conclusions 91
References 92
A Fine-Grained Metric System for the Completeness of Metadata 94
Introduction – Related Work 94
A Metric System for Completeness 96
Introducing Completeness at the Field Level 97
Measuring Completeness at the Field Level 98
Extending Completeness Metrics at the Representation Level 100
A Discussion of the Proposed Metrics 102
Conclusion – Future Work 104
References 104
Unified Semantic Search of Data and Services 106
Introduction 106
Motivating Scenario and Running Example 107
Building the Global Data and Service View at Set-Up Time 109
Building an Integrated Representation of eServices: The GLSO 109
Mapping of Data and Service Ontologies 112
Data and eService Retrieval 113
eService Retrieval 114
Related Work 116
Conclusion and Future Work 117
References 117
Preliminary Explorations on the Statistical Profiles of Highly-Rated Learning Objects 119
Introduction 119
Quantitative, Measurable Aspects of Learning Objects 121
Preliminary Empirical Study 121
Method 122
Results 123
Discussion 123
Conclusions and Outlook 126
References 127
Applications: Case Studies and Proposals 10
A Semantic Web Based System for Context Metadata Management 129
Introduction 130
Related Work 130
Semantic Web Based System for Context Metadata Management 132
System Architecture 132
Context module. 132
History module. 133
Rules module. 133
Inference module. 133
Input module. 133
Output module. 133
Translation module. 133
User interface module. 134
Module Interactions 134
Context Model 135
Case Study 137
Conclusions and Future Work 138
References 139
An XML Pipeline Based System Architecture for Managing Bibliographic Metadata 141
Introduction 141
Background 143
XML Metadata Format 144
System Architecture 145
Implementing the System in Practice 150
Conclusions 150
References 151
DataStaR: Bridging XML and OWL in Science Metadata Management 152
Introduction 152
Motivation and General Approach 153
XML Schemas and OWL: Background and Related Work 154
First Application: Ecological Metadata 155
System Implementation 156
Generation of Editing and Display Interfaces 156
Hidden XML Semantics 158
Ongoing Work 158
Multiple Formalisms and DL Compatibility 158
Ordering of Axioms 159
Evaluation 159
A Particular Advantage of XML Tools – Handling Text Markup 160
Conclusion 160
Funding Acknowledgement and Disclaimer 160
References 161
Structured Metadata for Representing and Managing Complex ‘Narrative’ Information 162
Introduction 162
General Backaground 163
Narratology and Related Disciplines 163
Present (and Past) Solutions for Representing Narratives 165
A Short Description of NKRL 166
The Knowledge Representation Aspects 166
The Querying and Inferencing Aspects 170
Conclusion 174
References 174
A Semantic Web Framework to Support Knowledge Management in Chronic Disease Healthcare 175
Introduction 175
Healthcare Knowledge Management for Chronic Disease 176
Ontology-Based Healthcare Knowledge Management Framework 177
Knowledge Resources 177
Ontology Development 177
Evidence-Based Healthcare Resource Repository 179
Discussion 180
References 180
Ontological Enrichment of the {/it Genes-to-Systems Breast Cancer} Database 182
Introduction 182
Background 183
Methods 185
Ontologies 185
The Ontology Based G2SBC 185
Ontologies Description 185
The Ontology Layer Implementation 186
Discussion 187
Improvement Related to Ontologies Exploitation 189
Conclusions 191
Acknowledgments. 192
References 192
An Ontology Based Approach to Information Security 194
Introduction 194
Overview of Information Security 196
Ontology Based Applications in the Knowledge Management 197
Ontological Needs in Information Security 198
IS Ontology Conceptual Model 199
Conclusions and Future Work 201
References 202
Reusability Evaluation of Learning ObjectsStored in Open Repositories Based on Their Metadata 204
Introduction 204
Learning Object Evaluation 205
Learning Object Reusability Metrics Based on Metadata Records 205
Cohesion 206
Size and Complexity 207
Portability 207
Quality Evaluation in the Use of Metadata in Repositories eLera and Merlot 208
Source of Metadata 209
Correspondence between eLera, Merlot and LOM Metadata Elements 209
Unstructured Metadata 210
Different Value Spaces 211
Metadata Completeness 211
Conclusions 212
References 212
A Comparison of Methods and Techniques for Ontological Query Expansion 214
Introduction 214
State of the Art 216
A Definition of Query Expansion 216
Query Expansion Methods 217
Towards a Platform for QE: Implementation 219
Type of Ontologies: Thesauri 219
Definition of the Ontology Representation Language: SKOS 220
Platform Architecture 220
Testing 222
Conclusions 223
References 224
Exploring Characterizations of Learning Object Repositories Using Data Mining Techniques 226
Introduction 226
Methodology 227
Criteria for LOR Selection 227
Data Collection 228
Preprocessing 228
Application of Data Mining Techniques 228
Potential Applications 234
Conclusions 234
References 235
Special Track: Metadata and Semantics for Agriculture, Food and Environment 10
Assuring the Quality of Agricultural Learning Repositories: Issues for the Learning Object Metadata Creation Process of the CGIAR 237
Introduction 237
Issues in Approaching the Nature of Quality in Education 238
Addressing Quality Metadata 239
Quality Assurance for LOM of the CGIAR 242
Conclusion 245
References 246
Ontology Design Parameters for Aligning Agri-Informatics with the Semantic Web 250
Introduction 250
Design Parameters 251
Purposes of the Ontologies 251
Reusing Ontologies and Ontology-Like Artefacts 251
Bottom-Up Development of Ontologies through Ontology Learning 253
Representation Languages and Reasoning Services 253
Conclusions 254
References 255
Developing an Ontology for Improving Question Answering in the Agricultural Domain 256
Introduction 256
Related Work 258
Improving Question Answering for the Agricultural Domain 259
The RCCA Journal as Agricultural Domain 260
Ontology Construction 260
The AGROVOC Thesaurus and WordNet 261
Alignment between Ontology and Domain Terminology 262
Calculating Weights. 264
Experiments and Results 264
Conclusions and Future Work 266
References 266
A Service Architecture for Facilitated Metadata Annotation and Ressource Linkage Using agroXML and ReSTful Web Services 268
Introduction 268
Materials and Methods 268
Prototype 270
Discussion 271
Outlook 273
References 273
A Water Conservation Digital Library Using Ontologies 274
Introduction 274
Ontology Development Methodology 275
Specification and Conceptualization 275
Formalization and Implementation 276
Ontology Application 276
Top Level Ontology 277
Domain Specific Ontology 277
System Architecture 278
Preliminary Conclusions 279
References 280
Evaluation of a Metadata Application Profile for Learning Resources on Organic Agriculture 281
Introduction 281
Background 282
Generic Process for AP Development 282
Evaluating the Application Profile 283
Revisiting the Process 284
Development of a LOM-Based AP for Organic Agriculture and Agroecology and Evaluation Study 285
Pilot Experiment Settings 285
Results 286
AP Revisions 288
Conclusions 289
References 290
Ontology for Seamless Integration of Agricultural Data and Models 293
Introduction 293
Ontologies in Integrated Assessment Studies 294
The Seamless Integrated Project 294
A Platform for Agro-Environmental Impact Assessments: SeamFrame 295
Ontology Development for Scientific Workflows 295
Model Chains and Scales – Interoperability Issues 295
Community Ontology Development in Seamless-IP 296
The Seamless Ontologies 296
The Seamless Model Chain 296
Crops and Products Ontology 297
Farm Ontology 298
Production Enterprise 298
Agricultural Activities 299
Economic Valuation of Agricultural Activities and Optimal Farmer Behaviour 300
Agricultural Policy Assessment 300
Assessment Project Ontology 301
Contribution of Ontology Development in Software Engineering Tasks 302
Cross-Programming Language Transliterations 302
Persistent Storage of Simulation Results 303
Documentation of Source Code and Database Schemas 303
Discussion 303
References 304
Assessment of Food and Nutrition Related Descriptors in Agricultural and Biomedical Thesauri 305
Introduction 305
Materials and Methods 306
Thesauri and Databases under Study 307
Results 308
Descriptors Related to Food in General 308
Descriptors Related to Vegetables 309
Descriptors Related to Milk 312
Descriptors Related to Seafoods 312
Discussion and Conclusions 314
References 315
Networked Ontologies from the Fisheries Domain 317
Introduction 317
The Process of Reengineering Reference Data for Time Series 319
The First Network of Fisheries Ontologies 319
Conclusions and Future Work 321
References 322
Improving Information Exchange in the Chicken Processing Sector Using Standardised Data Lists 323
Introduction 323
Method 324
Results 326
Discussion 328
References 331
Navigation as a New Form of Search for Agricultural Learning Resources in Semantic Repositories 333
Introduction 333
Technical Foundations 334
Overall Architecture of Organic.Edunet 334
Semantic Technologies 335
Semantic Search 335
Conclusions 337
References 337
Author Index 339

Produkt-Details

• Erscheint lt. Verlag: 1.1.2009
• Sprache: englisch
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: Breast Cancer • Bridging • Data Mining • Design • digital librery • Dublin core • indexing algorithms • knowledge management • machine learning • Ontology • security • Semantics • semantic web • Topic Maps • XML • XML metadata
• ISBN-10: 3-642-04590-1 / 3642045901
• ISBN-13: 978-3-642-04590-5 / 9783642045905