RED 2010
         Paris, France, November 8-10 2010

Third International Workshop on Resource Discovery 



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Student Travel Grants



 
 

 


 
 

RED Third International Workshop on
REsource Discovery

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 Third 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.

Workshop key dates

Long Paper  submission deadline:  CLOSE
Short Paper and Demo submission deadline:  September 15th, 2010
Acceptance notification:
Octuber 15th, 2010
Camera ready:
Octuber 31st, 2010

We invite the submission of 15 pages (long papers), short research papers (up to 8 pages in LNCS format), demonstration papers (up to 5 pages in LNCS format), and poster papers (up to 5 pages in LNCS format).

Papers accepted to workshop will be available on-line at the workshop Web site on November 1st. Then all papers presented at the workshop (including long, short, demos, poster) will be invited to be revised and extended for a second peer-review process. At the issue of the second review process, accepted papers in a volumen of Lecture Notes in Computer Science by Springer.

LNCS
Springer

Workshop co-Organizers
María-Esther Vidal, Universidad Simón Bolívar, Caracas, Venezuela.
Zoé Lacroix, Arizona State University and Translational Genomics Research Institute, (TGen) USA

NSF

Student travel grants will be available for students in US universities.


Tgen
USB

November 8-10,  2010
Paris, France, Europe
Joint to the 12th International Conference on Information Integration and Web-based Applications & Services (iiWAS2100)
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 ressources
  • 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