Sicilia Metadata and Semantics

1. Auflage 2008
ISBN: 978-0-387-77745-0
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 550 Seiten

Metadata and Semantics is an edited volume based on the 2007 Conference on Metadata and Semantics Research (MTSR), now in its second meeting. Metadata research is a pluri-disciplinary field that encompasses all aspects of the definition, creation, assessment, management and use of metadata.

This edited volume brings together world class leaders to contribute their research and up-to-date information on metadata and semantics applied to library management, e-commerce, e-business, information science and librarianship, to name a few.

Metadata and Semantics is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable for advanced-level students in computer science, information systems and information science and librarianship.

Autoren/Hrsg.

Sicilia, Miguel-Angel

Inhaltsverzeichnis

1;Preface;6
2;Table of Content;9
3;A Hybrid Ontology and Visual-based Retrieval Model for Cultural Heritage Multimedia Collections;16
3.1;1 Introduction;16
3.2;2 Hybrid Retrieval of Visual Content;17
3.3;3 Search Engine and Evaluation Corpus;20
3.4;4 Results;22
3.5;5 Conclusions;25
3.6;6 Acknowledgments;25
3.7;References;25
4;Towards a Definition of Digital Information Preservation Object;26
4.1;1 Introduction;26
4.2;2 Facing Long-term Digital Preservation;27
4.3;3 Developing the Information Approach;28
4.4;4 Predominant Approaches in Long-term Digital Preservation;31
4.5;5 Towards a Definition of Digital Information Preservation Object;34
4.6;References;35
5;Semantic Application Profiles: A Means to Enhance Knowledge Discovery in Domain Metadata Models;38
5.1;1 Introduction;38
5.2;2 Metadata Application Profiling;39
5.3;3 Transforming the CIDOC-CRM;41
5.4;4 Results;44
5.5;5 Conclusions and Future Work;46
5.6;References;47
6;Ontology for Preservation of Interactive Multimedia Performances;49
6.1;1 Introduction;49
6.2;2 Metadata and Ontologies for Digital Preservation;51
6.3;3 CIDOC-CRM for Digital Preservation;52
6.4;4 Extending CIDOC-CRM for Preservation of IMPs;53
6.5;5 Conclusion;57
6.6;References;58
7;NCD Recommendation for the National Standard for Describing Digitized Heritage in Serbia;59
7.1;1 Introduction;59
7.2;2 Why national standard?;60
7.3;3 Methodology;62
7.4;4 Description of the standard;63
7.5;5 Translations to international standards;64
7.6;6 Conclusion;64
7.7;Appendix;65
7.8;References;68
8;The Human Art of Encoding: Markup as Documentary Practice;69
8.1;1. Introduction;69
8.2;2. The practice of documentation;71
8.3;3. Markup Languages in practice;73
8.4;4. Taking a practice view;75
8.5;5. Is there a process emergent in practice?;77
8.6;6. The Markup Analysis Project;79
8.7;7. Conclusion;80
8.8;References;81
9;Metadata for describing learning scenarios under the European Higher Education Area paradigm;83
9.1;1 Introduction;83
9.2;2 Developing competences in a virtual learning scenario;85
9.3;3 Metadata for describing learning situations and learning scenarios;88
9.4;4 Discussion;91
9.5;Acknowledgements;92
9.6;References;92
10;Metadata Encoding for the Levels of Scientific Research;94
10.1;1. Introduction;94
10.2;2. A DTD for Scientific Research;95
10.3;3. Methodology;97
10.4;4. Future Plans;102
10.5;References;103
11;Metadata Encoding for the Documents based on the Rules of Diplomatics Science;104
11.1;1 Introduction;104
11.2;2 Methodology;107
11.3;3 Future plans;113
11.4;References;113
12;Formalizing Dublin Core Application Profiles – Description Set Profiles and Graph Constraints;114
12.1;Introduction;114
12.2;The Role of Application Profiles;116
12.3;The Design of Description Set Profiles;117
12.4;The Book DSP example;119
12.5;Using DSPs;120
12.6;Conclusions;122
12.7;References;123
13;Capturing MPEG-7 Semantics;125
13.1;1 Introduction;125
13.2;2 MPEG-7 Interoperability Issues;126
13.3;3 State of the Art MPEG-7 Ontologies;127
13.4;4 The BOEMIE approach;129
13.5;5 Conclusions and Perspectives;133
13.6;References;134
14;On the requirements of Learning Object Metadata for adults’ educators of special groups;135
14.1;Abstract;135
14.2;1. Introduction;135
14.3;2. Adults’ educators of special groups;136
14.4;3. Compatibility between educator and learner in adults’ education of special groups;138
14.5;4. Learning Objects and their Metadata;138
14.6;5. Example;141
14.7;6. Conclusion;143
15;Quality Metrics in Learning Objects;146
15.1;1 Introduction;146
15.2;2 Adapted Object-Oriented metrics;147
15.3;3 Analysis and results;149
15.4;4 Conclusions and future work;151
15.5;References;152
16;A New Proposal for Heterogeneous Data Integration to XML format. Application to the Environment of Libraries;153
16.1;1 Introduction;153
16.2;2 XDS;154
16.3;3 Languages Based on XML in the Bibliographical Environment;159
16.4;4 Bibliographical Data Integration to MODS Format Using XDS;160
16.5;5 Conclusions;162
16.6;References;162
17;Identifying Inference Rules for Automatic Metadata Generation from Pre- existing Metadata of Related Resources;164
17.1;1 Introduction;164
17.2;2 Motivation from Related Work;165
17.3;3 Generic Methodology for Identifying Inference Rules;166
17.4;4 Application Example;170
17.5;5 Conclusion – Future work;172
17.6;References;173
18;Semi – automated tool for characterizing news video files, using metadata schemas;175
18.1;1 Introduction;175
18.2;2 Methodology;176
18.3;Conclusion and future work;184
18.4;References;185
19;Exploring aspects of scientific publishing in astrophysics and cosmology: the views of scientists;187
19.1;Introduction;187
19.2;Literature Review;188
19.3;Aims and objectives;189
19.4;Methodology;189
19.5;Definition and scope;190
19.6;Results;190
19.7;Conclusions and future work;197
19.8;References;198
20;An RDF modification protocol, based on the needs of editing Tools;199
20.1;1 Introduction;199
20.2;2 Remote Modification Protocol;200
20.3;3 Approach: Replacing subgraphs;203
20.4;4. Implementation;205
20.5;5. Conclusion;206
20.6;Acknowledgement;206
20.7;References;207
21;Pragmatic support for taxonomy-based annotation of structured digital documents;208
21.1;1. The Open University digital library;208
21.2;2. Research Context;209
21.3;3. Course delivery model;210
21.4;4. Annotation support;210
21.5;5. Cost benefit analysis results;213
21.6;6. Findings and future work;215
21.7;7. Conclusion;216
21.8;8. References;216
22;Encoding changing country codes for the Semantic Web with ISO 3166 and SKOS;218
22.1;1 Introduction;218
22.2;2 Related Work;220
22.3;3 Encoding ISO 3166 in SKOS;221
22.4;4 Summary and Conclusions;227
22.5;References;227
23;Improving Accuracy of Tagging Systems Using Tag Qualifiers and Tagraph Vocabulary System;229
23.1;1. Introduction;229
23.2;2. Tag Qualifiers;230
23.3;3. Tagraph: Graph based vocabulary system;230
23.4;4. Conclusions;232
23.5;References;232
24;Ensemble Learning of Economic Taxonomy Relations from Modern Greek Corpora;233
24.1;1 Introduction;233
24.2;2 Related Work;234
24.3;3 Ensemble Learning;236
24.4;4 Automatic Extraction of Economic Terms;236
24.5;5 Taxonomy Learning;238
24.6;6 Classification Schemata and Results;240
24.7;7 Discussion;243
24.8;8 Conclusion;244
24.9;References;244
25;THE EXTENSION OF THE OMNIPAPER SYSTEM IN THE CONTEXT OF SCIENTIFIC PUBLICATIONS;247
25.1;1 Introduction;248
25.2;2 The RDF Prototype Developed in the OmniPaper Project;249
25.3;3 Instantiation of the OmniPaper RDF Prototype in the Context of Scientific Literature;251
25.4;4 Implementation of the Metadata Layer;252
25.5;5 Implementation of the Conceptual Layer;253
25.6;6 Conclusions and Future Work;255
25.7;References;256
26;The Semantic Web: A mythical story or a solid reality?;258
26.1;1. Introduction;258
26.2;2. Web.X – A story in 3 chapters;258
26.3;3. Current trends of the Semantic Web;260
26.4;4. Conclusions;261
26.5;5. References;261
27;Knowledge framework supporting semantic search of learning resources;263
27.1;1 Introduction;263
27.2;2 Common framework;264
27.3;3 An industrial use-case;266
27.4;4 An academic use-case;269
27.5;5 Related work and further trends;271
27.6;References;272
28;Ontology-based tools for the management of customers’ portfolios in a deregulated electricity market environment;273
28.1;1 Introduction;273
28.2;2 Power system operation in a liberalised market environment;274
28.3;3 The Option of Demand Side Bidding;275
28.4;4 Demand Side Bidding Implementation;276
28.5;5 A Semantic Approach for a Customer’s Portfolio;277
28.6;6 Partitioning the Product Space;278
28.7;7 An application example;279
28.8;8 Conclusions and Future Directions;282
29;Semantic Navigation on the web: the LCSH case study;283
29.1;1 Introduction;283
29.2;2 Ontology-based information seeking on the web;284
29.3;3 Ontology-based information seeking process;285
29.4;4 Conclusions – Future work;290
29.5;References;291
30;Ontologies and Ontology-Based Applications;293
30.1;1. Introduction;293
30.2;2. Ontology application fields;294
30.3;3. Conclusions;300
30.4;References:;301
31;Semantic technologies for mobile Web and personalized ranking of mobile Web search results;303
31.1;1 Introduction;303
31.2;2 The new context of mobile web;304
31.3;3 Personalization for the mobile web searching;306
31.4;4. Conclusions and Future Steps;311
32;A Web Classifier for Semantic Classification Between News and Sports Broadcasts;313
32.1;1 Introduction;313
32.2;2 Method;314
32.3;3 Application;316
32.4;REFERENCES;320
33;A semantics-based software framework for ensuring consistent access to up- to- date knowledge resources in Public Administrations;322
33.1;1 Introduction;322
33.2;2 Analysis of Knowledge Resources in Public Administrations;324
33.3;3 Change Management via Ontology Evolution;325
33.4;4 Representing Changes Using the Change Ontology;326
33.5;5 Related Work and Conclusions;329
33.6;Acknowledgements;330
33.7;References;331
34;Legislative meta-data based on semantic formal models;332
34.1;1 Functional Framework: towards a formal disposition theory;332
34.2;2 The Role of Ontology: ontoPrivacy;335
34.3;3 Semantic Mark-up: metaEdit;336
34.4;4 Semantic Mark-up: metaSearch;337
34.5;5 Correlated dispositions;338
34.6;6 Queries Expansion: metaSearch;340
34.7;7 Conclusions: Searching for Rules rather than Documents;341
34.8;References;341
35;Enriching WordNet to Index and Retrieve Semantic Information;342
35.1;1 Introduction;342
35.2;2 The generic context;343
35.3;3 A specific context;344
35.4;4 The enriched Semantic Net;346
35.5;5 The GIS Scenario;350
35.6;6 Conclusions and future work;353
35.7;References;353
36;Adaptive Web Site Customization;355
36.1;1 Introduction;355
36.2;2 Adaptive Web Site Customizations;356
36.3;3 Experiments;359
36.4;4 Related Work;363
36.5;5 Concluding Remarks;363
36.6;References;364
37;Social and Domain Knowledge Management through the Integration of Storytelling and Case Based Reasoning;366
37.1;1.1 Introduction;366
37.2;1.2 Storytelling and Complex Knowledge Structures: a Knowledge Management Conceptual Framework;367
37.3;1.3 Representing CKSs;369
37.4;1.4 Telling Stories by Means of CKSs: An Example;371
37.5;1.5 Comparing Stories: Unsolved Complex Knowledge Structures;373
37.6;1.6 Conclusions and Future Work;374
37.7;References;375
38;Analysis of XBRL documents containing accounting information of listed firms using Semantic Web Technologies;376
38.1;1 Introduction;376
38.2;2 The XBRL standard;377
38.3;3 The Spanish Securities Commission;378
38.4;4 Architecture of the system;379
38.5;5 Related Work;380
38.6;6 Conclusions;381
38.7;References;381
39;Guidelines for Web Search Engines: From Searching and Filtering to Interface;383
39.1;1 Introduction;383
39.2;2 The Role of Semantic Web;384
39.3;3 The Need for Personalized Web Search;386
39.4;4 Interface;390
39.5;5 Conclusions;391
39.6;References;392
40;An Adaptive Complex Data Investigation Methodology using Interactive Multi- Menus;393
40.1;1 Introduction;393
40.2;2 Scientific Interactive Multimedia Framework and Model;396
40.3;3 Multi-Menus, Graphs, Metadata and System Programming;399
40.4;4 Conclusions;401
40.5;References;402
41;Reference Ontology Design for a Neurovascular Knowledge Network;403
41.1;1 Overview;404
41.2;2 The NEUROWEB project: problem analysis;404
41.3;3 The NEUROWEB Reference Ontology;406
41.4;4 The genomic extension of the Reference Ontology;410
41.5;5 Conclusion and future directions;412
41.6;References;413
42;Rules for Mapping SQL Relational Databases to OWL Ontologies;415
42.1;1 Introduction;415
42.2;2 Approach;416
42.3;3 Conclusion;424
42.4;References;424
43;Ontology Oriented Support for the Teaching Process in the Greek Secondary Education;425
43.1;1. Introduction;425
43.2;2. Didactic’s Theoretical Frame;426
43.3;3. Representation technologies and teaching support;427
43.4;4. . methodology for the development of teaching ontologies;428
43.5;5. A paradigm;430
43.6;Conclusions and future work;432
43.7;References;432
44;A new Formal Concept Analysis based learning approach to Ontology building;433
44.1;1 Introduction;433
44.2;2 Ontology building by machine learning: states of the art;434
44.3;3 Formal Concept Analysis based Learning approach to Ontology building;436
44.4;4 Query Expansion Application;442
44.5;5 Conclusion;443
45;Creating and Querying an Integrated Ontology for Molecular and Phenotypic Cereals Data;445
46;A Notification Infrastructure for Semantic Agricultural Web Services;455
47;agroXML Enabling Standardized, Platform-Independent Internet Data Exchange in Farm Management Information Systems;462
48;Comparing Different Metadata Application Profiles for Agricultural Learning Repositories;468
48.1;1 Introduction;468
48.2;2 Background;470
48.3;3 Metadata for agricultural learning resources;471
48.4;4 Case studies;472
48.5;5 Comparison;475
48.6;6 Conclusions;477
48.7;Acknowledgments;477
48.8;References;477
49;Using an AGROVOC-based ontology for the description of learning resources on organic agriculture;479
49.1;Abstract.;479
49.2;1 Introduction;479
49.3;2 Timeline for the creation of an AGROVOC ontology;482
49.4;3 Converting AGROVOC to ontological languages: the case of fertilization;483
49.5;4 Case study: annotating resources on fertilization;487
49.6;5 Conclusions and outlook;488
49.7;Acknowledgements;489
49.8;References;489
50;Using Agricultural Ontologies;491
51;Metadata Application Profile for Agricultural Learning Resources;497
52;A Distributed Architecture for Harvesting Metadata Describing Organizations in the Agriculture Sector;506
52.1;1 Background;506
52.2;2 Proposed Architecture and Workflow;508
52.3;3 The AgOrg AP;509
52.4;References;511
53;Semantic Location Based Services for Smart Spaces;512
53.1;1 Introduction;512
53.2;2 Spatial Modeling;513
53.3;3 Hybrid Navigation with Graphs and Rules;517
53.4;4 Related Work;520
53.5;5 Conclusions and Discussion;521
53.6;References;521
54;How to Overcome Stumbling Blocks of Traditional Personalization Paradigms?;523
55;A Semantic Matching Approach for Mediating Heterogeneous Sources;533
55.1;1 Introduction;533
55.2;2 Principle of the Approach;535
55.3;3 Architecture and Working of the System;536
55.4;4 OWL Representation of the Sources;537
55.5;5 Matching Algorithm;539
55.6;6 Prototype and Experiments;540
55.7;7 Other Features;542
55.8;8 Conclusion and Perspectives;543
55.9;References;543
56;Index;545