Resource Discovery Second International Workshop, RED 2009, Lyon, Fr

Resource discovery is the process of identifying and locating existing resources thathavea particularproperty. Aresourcecorrespondsto aninformationsource such as a data repositoryor databasemanagement system (e. g. , a query form or a textual search engin

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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 Alfred Kobsa University of California, Irvine, CA, 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 TU Dortmund University, Germany Madhu Sudan Microsoft Research, Cambridge, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany

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Zoé Lacroix (Ed.)

Resource Discovery Second International Workshop, RED 2009 Lyon, France, August 28, 2009 Revised Papers

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Volume Editor Zoé Lacroix Translational Genomics Research Institute 445 North 5th Street, Phoenix, AZ 85004, USA and Arizona State University Tempe, AZ 85281-5706, USA E-mail: [email protected]

Library of Congress Control Number: 2010930172 CR Subject Classification (1998): H.4, C.2, H.3, D.2, H.5, I.2 LNCS Sublibrary: SL 3 – Information Systems and Application, incl. Internet/Web and HCI ISSN ISBN-10 ISBN-13

0302-9743 3-642-14414-4 Springer Berlin Heidelberg New York 978-3-642-14414-1 Springer Berlin Heidelberg New York

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Preface

Resource discovery is the process of identifying and locating existing resources that have a particular property. A resource corresponds to an information source such as a data repository or database management system (e.g., a query form or a textual search engine), a link between resources (an index or hyperlink), or a service such as an application or a tool. Resources are characterized by core information including a name, a description of its input and its output (parameters or format), its address, and various additional properties expressed as metadata. Resources are organized with respect to metadata that characterize their content (for data sources), their semantics (in terms of ontological classes and relationships), their characteristics (syn