First International Workshop on REsource Discovery (RED)


http://bioinformatics.eas.asu.edu/RED/red2008.html

in conjunction with
10th International Conference on Information Integration and Web-based Applications & Services
(iiWAS2008)
24-26 November 2008
Linz, Austria from



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 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.

Resource discovery is the process of identifying and locating existing resources that have
a particular property. Machine-based resource discovery relies on crawling, clustering, and
classifying resources discovered on the Web automatically. 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 locate resources that implement specific tasks.

The International Workshop on Resource Discovery aims at bringing together researchers,
developers, and practitioners to discuss research issues and experience in developing and
deploying concepts, applications, and solutions addressing various issues related to
resource discovery. Papers presenting either theoretical or applicative material are
expected. Because of the dynamic research and development effort towards supporting
resource discovery for the life sciences, we expect to receive many contributions in the
scope of this very exciting application domain. However, we encourage the submission of
generic solutions or the presentation of application experiences other than related to
life sciences.


Topics of interest include (but are not limited to):

- Service publication standards (UDDI, OWL-S, etc.)
- Web services
- BioMoby services
- Resource semantics
- Resource formats and metadata
- Resource metadata for efficient execution
- Data-centric Web services
- Domain ontologies for resources
- Metadata models for describing web resources
- Automatic extraction of metadata in particular with Web 2.0 tools (wikis, blogs...)
- Models for registration of resources
- Automatic registration of resources
- Resource indexing
- Visualization of resource metadata
- Query languages for resource discovery
- user-friendly interface for resource discovery
- Resource mining, discovering services on the Web
- Mobile web services
- Service discovery protocols
- Identification protocols that can distinguish between resources and metadata
- Interoperability-driven resource discovery
- Discovery for integration, composition, workflow, dataflow
- Metadata for resource mapping
- Dynamic service composition
- Service efficiency prediction
- QoS-based service discovery
- Resource relevance measures
- Semantics-driven resource discovery
- Discovery on the private (or invisible) web

Workshop information
--------------------
The workshop will take place in Linz, Austria from 24-26 November 2008. Please visit the
conference website for more information: http://www.iiwas.org/conferences/iiwas2008/.

Workshop key dates
------------------
Submission deadline: July 1st
Acceptance notification: September 30th
Camera ready: October 15th
Maximum number of pages: 10 pages


Publication
-----------
The workshop proceedings will published by the Austrian Computer Society (OCG) books@ocg.at
series. We expect to invite selected papers to be extended for publication in a special
issue of the International Journal of Web and Grid Services (IJWGS) (www.inderscience.com/)


Workshop Chair
--------------
Zoe Lacroix, Arizona State University and Translational Genomics Research Institute, USA
Contact: zoe@iiwas.org


Program committee
-----------------
Bernd Amann, LIP6, Universit? de Pierre et Marie Curie, France
Marie-Dominique Devignes, INRIA Lorraine, LORIA, France
Juliana Freire, University of Utah, USA
Christine Froidevaux, LRI, Universite Paris-Sud (Orsay), France
Carole Goble, School of Computer Science, University of Manchester, UK
Daniela Grigori, Universit? de Versailles Saint-Quentin, France
Cartik Kothari, University of British Columbia, Canada
Phillip Lord, School of Computing Science, Newcastle University, UK
Bertram Ludascher, University of California, Davis, USA
Herve Menager, Institut Pasteur, France
Peter Mork, The MITRE Corporation, USA
Patricia Rodriguez-Tome, Center for Advanced Studies, CRS4, Italy
Malika Smail-Tabbone, LORIA and Universite Henri Poincare, France
Pierre Tuffery, INSERM & Universite Diderot (Paris 7), France
Maria-Esther Vidal, Universidad Simon Bolivar, Venezuela