Chbeir / Hassanien / Badr Emergent Web Intelligence: Advanced Information Retrieval

1. Auflage 2010
ISBN: 978-1-84996-074-8
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 487 Seiten

Reihe: Advanced Information and Knowledge Processing

This volume reviews cutting-edge technologies and insights related to XML-based and multimedia information access and data retrieval. And by applying new techniques to real-world scenarios, it details how organizations can gain competitive advantages.

Richard Chbeir received his Ph. D in Computer Science from the INSA DE Lyon-France in 2001. He has been a member of IEEE and ACM since 1999. He is currently an Associate Professor in the Computer Science Department of the Bourgogne University, Dijon-France. His research interests are in the areas of distributed multimedia database management, XML similarity and rewriting, spatio-temporal applications, indexing methods, and multimedia access control models. Dr. Chbeir has published (more than 40 peer-reviewed publications) in international journals and books (IEEE Transactions on SMC, Information Systems, Journal on Data Semantics, Journal of Systems Architecture), conferences ( ER, WISE, SOFSEM, EDBT, ACM SAC, Visual, IEEE CIT, FLAIRS, PDCS) and has served on the program committees of several international conferences (SOFSEM, AINA, IEEE SITIS, ACM SAC, IEEE ISSPIT, EuroPar, SBBD). He has been organizing many international conferences and workshops (ACM SAC, ICDIM, CSTST, SITIS). He is currently the Vice-Chair of the ACM SIGAPP and the Chair of its French Chapter. Youakim Badr has a Doctorate in Information Systems from the French National Institute for Applied Sciences in Lyon (INSA-Lyon). In 2004, he joined the faculty of the INSA of Lyon as Assistant Professor of Computer Science. He teaches in both the Department of Computer Engineering and the Department of Industrial Engineering. He also contributes largely to the INSA's new International Master Program in Information Systems and represents the Industrial Engineering Department abroad through his work in international relations.

Dr. Badr has worked extensively in the field of coupling XML documents and Object-Relational Databases. Through his research he has acquired skills in fields such as Interoperability, Modeling, System Architectures and Networking, and their application to various domains such as Business Processes, Supply Chains, Productions Systems, Virtual Enterprises and e-commerce. His current academic research interests include systems in both the service sector and ICT. In particular, he studies the ecosystem of services and the multidisciplinary modeling approach to design services through the integration of ICT, strategy and processes. He leads the Service-Oriented Enterprise research team which combines industrial and computer engineering approaches. In this context, he co-supervises several graduate students and actively participates in national and international projects. Ajith Abraham received his Ph.D degree in computer science from Monash University, Melbourne, Australia. His research and development experience includes over 18 years in the Industry and Academia. He works in a multidisciplinary environment involving machine intelligence, network security, sensor networks, e-commerce, Web intelligence, Web services, computational grids, data mining, and applications to various real-world problems. He has given more than 30 plenary lectures and conference tutorials in these areas. He has authored or coauthored more than 500 publications. He works with the Norwegian University of Science and Technology, Norway and also coordinates the activities of Machine Intelligence Research Labs (MIR Labs), which has representation in 47 countries. He is the Co-Chair of the IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing. He is the founder of several conference series, which are now sponsored by IEEE and also serves the editorial board of over 30 editorial journals.  Aboul Ella Hassanien received his B.Sc. with honours in 1986 and M.Sc degree in 1993, both from Ain Shams University, Faculty of Science, Ain from the Department of Computer Science, Graduate School of Science and Engineering, Tokyo Institute of Technology, Japan. He is currently a Professor at Cairo University, Faculty of Computer and Information. He has authored/coauthored over 120 research publications in peer-reviewed reputed journals and conference proceedings. He serves on the editorial board and is a reviewer of a number of journals and he is also on the program committee of several international conferences and he has edited/written more than 18 books. He received the Excellent Young Researcher award from Kuwait University.  

Autoren/Hrsg.

Hassanien, Aboul-Ella

Abraham, Ajith

Badr, Youakim

Chbeir, Richard

Inhaltsverzeichnis

1;Editorial Preface;5
1.1;1 Introduction;5
1.2;2 Book Organization;7
1.3;3 Acknowledgment;12
1.4;4 About the Editors;13
1.5;5 List of Reviewers;14
2;Contents;16
3;Contextual and Conceptual Information Retrieval and Navigation on the Web;19
3.1;1.1 Introduction: Goals and Challenges;20
3.2;1.2 Conceptual Contexts and Relationship with Ontologies;21
3.3;1.3 Methodology for a Conceptual and Contextual Information Retrieval and Navigation on the Web;26
3.4;1.4 Enhancing Navigation in the Lattice – Similarity Measure;28
3.5;1.5 Perspectives: Towards Galois Lattices’ Visual Footprints;35
3.6;1.6 Conclusion;36
3.7;References;37
4;Automatic Invocation Linking for Collaborative Web- Based Corpora;40
4.1;2.1 Introduction;41
4.2;2.2 State of the Art;44
4.3;2.3 Challenges and Design Goals;47
4.4;2.4 NNexus Approach;49
4.5;2.5 Case Studies;56
4.6;2.6 Conclusion and Open Issues;61
4.7;References;61
5;WS-Query – A Framework to Efficiently Query SemanticWeb Service;63
5.1;3.1 Introduction;63
5.2;3.2 Service Query Model;67
5.3;3.3 Quality ofWeb Service-Aware Optimization;75
5.4;3.4 Implementation;91
5.5;3.5 RelatedWork;98
5.6;3.6 Conclusions;100
5.7;References;101
6;RDF-GL: A SPARQL-Based Graphical Query Language for RDF;103
6.1;4.1 Introduction;103
6.2;4.2 RelatedWork;104
6.3;4.3 RDF-GL;108
6.4;4.4 SPARQLinG;125
6.5;4.5 Conclusions and Further Research;130
6.6;References;131
7;Semantics-Based Intelligent Indexing and Retrieval of Digital Images – A Case Study;133
7.1;5.1 Introduction;133
7.2;5.2 SemanticWeb;135
7.3;5.3 Case Study;136
7.4;5.4 Ontology Development;137
7.5;5.5 Image Annotation;141
7.6;5.6 Image Retrieval;142
7.7;5.7 Query Expansion;144
7.8;5.8 Conclusions;148
7.9;References;149
8;Harvesting Intelligence in Multimedia Social Tagging Systems;151
8.1;6.1 Introduction;151
8.2;6.2 Multimedia Content Annotation;153
8.3;6.3 State of the Art;156
8.4;6.4 Content and Tag-Based Clustering Approach;160
8.5;6.5 Experimental Results;167
8.6;6.6 Use Cases – Scenarios;174
8.7;6.7 Conclusions;176
8.8;6.8 Appendix;176
8.9;References;180
9;User Profiles Modeling in Information Retrieval Systems;184
9.1;7.1 Introduction;184
9.2;7.2 Information Retrieval;186
9.3;7.3 Evolutionary Computation;194
9.4;7.4 Evolutionary Techniques and Fuzzy Logic Principles in IRS;198
9.5;7.5 Experimental Evaluation;203
9.6;7.6 Conclusion;211
9.7;References;211
10;Human–Web Interactions;214
10.1;8.1 Introduction;215
10.2;8.2 Data Collection;217
10.3;8.3 Case Study: Data and Intranet Portal;219
10.4;8.4 Preprocessing;221
10.5;8.5 Analysis;222
10.6;8.6 Modeling;232
10.7;8.7 Applications;235
10.8;8.8 Conclusions and Future Trends;245
10.9;References;246
11;Web Recommender Agents with Inductive Learning Capabilities;248
11.1;9.1 Introduction;248
11.2;9.2 RelatedWork;253
11.3;9.3 CILWEB Knowledge Representation: Ontology and Agent Profile;255
11.4;9.4 Connectionist Representation of Agent’s Profile;265
11.5;9.5 Implication-BasedWeb Recommendations;271
11.6;9.6 Evaluation of CILWEB;274
11.7;9.7 Conclusions;277
11.8;Appendix: The Rules-Network Translation Method;278
11.9;References;280
12;Capturing the Semantics of User Interaction: A Review and Case Study;283
12.1;10.1 Introduction;283
12.2;10.2 Survey of Collaborative Filtering and Long-Term Learning;287
12.3;10.3 Unifying Interaction Domains;302
12.4;10.4 Long-Term Learning in Image Retrieval: A Case Study;304
12.5;10.5 Conclusion;309
12.6;References;310
13;Analysis of Usage Patterns in Large Multimedia Websites;314
13.1;11.1 Introduction;314
13.2;11.2 Overview of the Proposed Approach;318
13.3;11.3 Introduction to the Skyserver;319
13.4;11.4 Analysis of Usage Patterns;320
13.5;11.5 Case Studies and Experiments;328
13.6;11.6 Conclusions;331
13.7;References;332
14;An Adaptation Framework forWeb Multimedia Presentations;334
14.1;12.1 Introduction;335
14.2;12.2 Related Work;337
14.3;12.3 Spatio-Temporal Representation;338
14.4;12.4 Spatio-Temporal Reasoning;343
14.5;12.5 Framework for Multimedia Adaptation by substitution;343
14.6;12.6 Conflicts;349
14.7;12.7 Conclusion and Perspectives;352
14.8;References;352
15;A Multifactor Secure Authentication System for Wireless Payment;354
15.1;13.1 Introduction;354
15.2;13.2 Background and RelatedWork;356
15.3;13.3 Multifactor Authentication Approach;358
15.4;13.4 Secure Web Authentication Protocol;360
15.5;13.5 System for Two Way Authentication;365
15.6;13.6 Implementation Issues;370
15.7;13.7 Analysis of Various Internet Threats;372
15.8;13.8 Advantages;380
15.9;13.9 Conclusion;380
15.10;References;381
16;A Lightweight Authentication Protocol for Web Applications in Mobile Environments;383
16.1;14.1 Introduction;383
16.2;14.2 Preliminary Notions and Notations;384
16.3;14.3 An Overview on the Previous Literature;387
16.4;14.4 The Authentication Protocol;389
16.5;14.5 Security Analysis of the Proposed Protocols;392
16.6;14.6 Pseudo Random Number Generation;394
16.7;14.7 Security Analysis of the Proposed PRN Generator;397
16.8;14.8 Conclusions;401
16.9;References;401
17;Developing Access Control Model of Web OLAP over Trusted and Collaborative Data Warehouses;404
17.1;15.1 Introduction;404
17.2;15.2 Related Work;406
17.3;15.3 A Framework of the Proposed Model;408
17.4;15.4 Implementation;417
17.5;15.5 Conclusion and Future Work;423
17.6;References;423
18;Security in Distributed Collaborative Environments: Limitations and Solutions;425
18.1;16.1 Introduction;425
18.2;16.2 Uses Cases;427
18.3;16.3 Related Work;429
18.4;16.4 The Chameleon Architecture;436
18.5;16.5 The Distrust Model;440
18.6;16.6 Establishing Trust Beliefs Based on Disposition to Trust;444
18.7;16.7 X316: Morph Access Pass Certificate;449
18.8;16.8 Conclusion and Discussion;460
18.9;References;461
19;A Low-Cost and Secure Solution for e- Commerce;465
19.1;17.1 Introduction;465
19.2;17.2 The Proposed Solution;468
19.3;17.3 Security Analysis;473
19.4;17.4 Conclusion and Perspectives;478
19.5;References;479
20;Hyperchaotic Encryption for Secure E-Mail Communication;480
20.1;18.1 Introduction;480
20.2;18.2 Description;482
20.3;18.3 Hyperchaotic Cryptosystem;482
20.4;18.4 Output Synchronization of Hyperchaotic Maps;484
20.5;18.5 Output Synchronization of Hyperchaotic Rössler Maps;488
20.6;18.6 Secure Chaotic Encryption;490
20.7;18.7 Conclusions;493
20.8;References;493
21;Index;496