Emergent Web Intelligence: Advanced Semantic Technologies

The future of the World Wide Web depends on its ability to understand and automatically process content to enable computers and people to work in cooperation. Now more than ever, new advanced techniques and intelligent approaches are required to transform the Web into a universal reasoning and semantic-driven computing machine. The Web intelligence discipline attempts to deal with this challenge by exploiting information technologies and artificial intelligence approaches to design the next generation of web-empowered systems and future Internet services.'The Emergent Web Intelligence: Advanced Semantic Technologies' book provides valuable references and cutting-edge technologies for anyone interested in exploring how semantic techniques and technologies can bridge the gap between users and applications on the Web.

This book presents cutting-edge research in the field of semantic technologies. Its seventeen chapters are arranged into four parts and identify interdisciplinary challenges in the areas of the Semantic Web, artificial intelligence, and knowledge-based services. The chapters provide analysis and insight into semantic Web techniques and are authored by reputable scientists in the field. All articles are self-contained to provide the greatest reading flexibility and aim to serve as a reference for researchers in the Semantic Web community.

Autorentext

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.

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 andbooks (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.

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 inpeer-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.

Zusammenfassung
The success of the World Wide Web depends on the ability of users to store, p- cess and retrieve digital information regardless of distance boundaries, languages and domains of knowledge. The universality and ?exibility of the World Wide Web have also enabled the rapid growth of a variety of new services and applications based on humanmachine interaction. The semantics of exchanged information and services should be useful not only for human to human communications, but also in that machines would be able to understand and automatically process web content. Semanticsgive well-de?nedmeaningto web content and enable computersand p- ple to work in cooperation. Today, the crucial challenge becomes the development of languages to express information in a machine processable format. Now more than ever, new advanced techniques and intelligent approaches are required to tra- form the Web into a universal reasoning and computing machine. Web intelligence attempts to deal with this challenge by exploiting information technologies and - ti?cial intelligence approaches to design the next generation of web-empowered systems and services.

Inhalt

Web, Semantic and Intelligence.- The Dilated Triple.- Semantic Web Technologies and Artificial Neural Networks for Intelligent Web Knowledge Source Discovery.- Computing Similarity of Semantic Web Services in Semantic Nets with Multiple Concept Relations.- General-Purpose Computing on a Semantic Network Substrate.- Collaboration, Semantic and Intelligence.- Agent Technology Meets the Semantic Web: Interoperability and Communication Issues.- Mining of Semantic Image Content Using Collective Web Intelligence.- Suited Support for Distributed Web Intelligence Cooperative Work.- Web Services and Software Agents for Tailorable Groupware Design.- Knowledge, Text, Semantic and Intelligence.- Toward Distributed Knowledge Discovery on Grid Systems.- Metamodel of Ontology Learning from Text.- An Analysis of Constructed Categories for Textual Classification Using Fuzzy Similarity and Agglomerative Hierarchical Methods.- Emergent XML Mining: Discovering an Efficient Mapping from XML Instances to Relational Schemas.- XML Based Information Systems and Formal Semantics of Programming Languages.- Applications and Case Stud…