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The future of the World Wide Web depended on its ability to understand and automatically process content to enable computers and people to work in cooperation. New advanced techniques and intelligent approaches are required more than ever to transform the Web into a universal reasoning and semantic-driven computing machine.
The Web intelligence discipline attempts to deal with this challenge by exploits information technologies and artificial intelligence approaches to design next generation of web-empowered systems and services. The 'Emergent Web Intelligence: Advanced Semantic
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Produktbeschreibung
The future of the World Wide Web depended on its ability to understand and automatically process content to enable computers and people to work in cooperation. New advanced techniques and intelligent approaches are required more than ever to transform the Web into a universal reasoning and semantic-driven computing machine.

The Web intelligence discipline attempts to deal with this challenge by exploits information technologies and artificial intelligence approaches to design next generation of web-empowered systems and services. The 'Emergent Web Intelligence: Advanced Semantic Technologies" book provides valuable references and cutting-edge technologies for: undergraduate and postgraduate students who are studying Web Intelligence and Semantic Web courses, developers who need to design innovative approaches by applying different emergent semantic techniques to real-world problems, researchers who seek to understand the state of the art and foresee future research strategies in Web Intelligence and Semantic Web.

The book is organized in self-contained chapters to provide greatest reading flexibility.
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 human-machine 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.
Autorenporträt
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.  
Rezensionen
From the reviews:

"The book starts with an explanation of the resource description framework (RDF). It provides readers with the theoretical aspects of the RDF using mathematical notations. ... Readers who have some inclination toward mathematics should enjoy this. Another aspect of the book's writing style will also be very conducive to learning ... . Overall, this very good book provides good insight into Web intelligence. ... can be used as a reference for courses related to Web intelligence and emerging Web technologies." (Varadraj Gurupur, ACM Computing Reviews, January, 2011)