Resource Discovery

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

  • Zoé Lacroix
Conference proceedings RED 2009

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6162)

Table of contents

  1. Front Matter
  2. Cristina Bianca Pop, Viorica Rozina Chifu, Ioan Salomie, Mihaela Dinsoreanu
    Pages 1-17
  3. Devis Bianchini, Valeria De Antonellis, Michele Melchiori
    Pages 35-48
  4. Martin Husemann, Norbert Ritter
    Pages 49-65
  5. Sérgio Manuel Serra da Cruz, Patricia M. Barros, Paulo M. Bisch, Maria Luiza M. Campos, Marta Mattoso
    Pages 66-80
  6. Mohammad Daoud, Christian Boitet, Kyo Kageura, Asanobu Kitamoto, Mathieu Mangeot, Daoud Daoud
    Pages 94-109
  7. Jing Li, Dianfu Ma, Zhuo Zhao, Hong Zhu, Lusong Li
    Pages 110-119
  8. Marlene Goncalves, Maria-Esther Vidal, Alfredo Regalado, Nadia Yacoubi Ayadi
    Pages 120-139
  9. Back Matter

About these proceedings

Introduction

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 engine), a link between resources (an index or hyperlink), or a servicesuchasanapplicationoratool. Resourcesarecharacterizedbycoreinf- mation including a name, a description of its input and its output (parameters or format), its address, and various additional properties expressed as me- data. 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 (syntactical properties), their performance (with metrics and benchmarks), their quality (curation, reliability, trust), etc. Resource discovery systems allow the expression of queries to identify and - cate resources that implement speci?c tasks. Machine-based resource discovery relies on crawling, clustering, and classifying resources discovered on the Web automatically. The First Workshop on Resource Discovery (RED) took place on November 25, 2008 in Linz, Austria. It was organized jointly with the 10th International Conference on Information Integration and Web-Based Applications and S- vices and its proceedings were published by ACM. The second edition of the workshop was co-located with the 35th International Conference on Very Large Data Bases (VLDB) in the beautiful city of Lyon, France. Nine papers were selected for presentation at this second edition. Areas of researchaddressedby these papers include the problem of resource characterization and classi?cation, resourcecomposition,andontology-drivendiscovery.

Keywords

Semantic Web Web Services data source management lexical graphs p2p query interface resource management

Editors and affiliations

  • Zoé Lacroix
    • 1
  1. 1.Scientific Data Management LaboratoryArizona State UniversityTempeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-14415-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-14414-1
  • Online ISBN 978-3-642-14415-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book