Journal on Data Semantics VI
• Data warehousing and semantic data mining • Spatial, temporal, multimedia and multimodal semantics • Semantics in data visualization • Semantic services for mobile users • Supporting tools • Applications of semantic-driven approaches These topics are to
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Stefano Spaccapietra Karl Aberer Philippe Cudré-Mauroux (Eds.)
Journal on Data Semantics VI Special Issue on Emergent Semantics
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Volume Editors Stefano Spaccapietra École Polytechnique Fédérale de Lausanne, EPFL IC LBD, Station 14 1015 Lausanne, Switzerland E-mail: stefano.spaccapietra@epfl.ch Karl Aberer Philippe Cudré-Mauroux École Polytechnique Fédérale de Lausanne, EPFL I and C, LSIR, Station 14 1015 Lausanne, Switzerland E-mail: {karl.aberer, philippe.cudre-mauroux}@epfl.ch
Library of Congress Control Number: 2006929224 CR Subject Classification (1998): H.2, H.3, I.2, H.4, C.2 LNCS Sublibrary: SL 3 – Information Systems and Application, incl. Internet/Web and HCI ISSN ISBN-10 ISBN-13
1861-2032 3-540-36712-8 Springer Berlin Heidelberg New York 978-3-540-36712-3 Springer Berlin Heidelberg New York
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The LNCS Journal on Data Semantics
Computerized information handling has changed its focus from centralized data management systems to decentralized data exchange facilities. Modern distribution channels, such as high-speed Internet networks and wireless communication infrastructure, provide reliable technical support for data distribution and data access, materializing the new, popular idea that data may be available to anybody, anywhere, anytime. However, providing huge amounts of data on request often turns into a counterprod
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