Artificial Intelligence: Methodology, Systems, and Applications 12th
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Subseries of Lecture Notes in Computer Science
4183
Jérôme Euzenat John Domingue (Eds.)
Artificial Intelligence: Methodology, Systems, and Applications 12th International Conference, AIMSA 2006 Varna, Bulgaria, September 12-15, 2006 Proceedings
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Jérôme Euzenat INRIA Rhône-Alpes 655 avenue de l’Europe, 38330 Montbonnot Saint-Martin, France E-mail: [email protected] John Domingue The Open University, Knowledge Media Institute Milton Keynes MK7 6AA, UK E-mail: [email protected]
Library of Congress Control Number: 2006932035
CR Subject Classification (1998): I.2, H.4, F.1, H.3, I.5 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-40930-0 Springer Berlin Heidelberg New York 978-3-540-40930-4 Springer Berlin Heidelberg New York
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Preface
The 12th Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA 2006) was held in Varna on the Black Sea coast during September, 12–15, 2006. The AIMSA conference series has provided a biennial forum for the presentation of artificial intelligence research and development since 1984. The conference, which is held in Bulgaria, covers the full range of topics in artificial intelligence and related disciplines and provides an ideal forum for international scientific exchange between Central/Eastern Europe and the rest of the world. The 2006 edition perpetuates this tradition. For AIMSA 2006, we wanted to place special emphasis on a specific phenomenon that affects all areas of artificial intelligence: the application and leverage of artificial intelligence technology in the context of human collaboration which today is mediated by the Web. Artificial intelligence is used to support human communication in a wide variety of ways. For example, reasoning over the Semantic Web, analyzing relationships between people, enhancing the user experience by learning from their behavior, applying natural language to large multilingual corpora, planning a combination of Web services, and adapting and personalizing edu
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