RED 2010
         Heraklion, Greece, May 29-June 2, 2011

  Fourth International Workshop on Resource Discovery



Submissions Guidelines

Long papers should not exceed fifteen (15) pages in length and must be formatted according to the information for LNCS authors. Short papers should not exceed eight (8) pages in length and must be also formatted according to the information for LNCS authors. 

Submissions are only accepted in PDF format.

Submissions are made through easy chair
For the submission deadlines please refer to important dates.

Author Kits

Instructions and sample files are available for LaTeX and Microsoft Word.

Camera Ready Submission

The camera ready submission of your accepted paper has to be sent in time. For the exact dates please refer to important dates.

Please note: Papers not sent in time or not presented at the conference (full registration) will not be published in the workshop proceedings.


Please note that accepted papers can only be published when at least one author has registered for the conference ESWC 2011. So, authors will be requested to register along with the final manuscript. For the exact date please refer to important dates.

Workshop Proceedings will be published online. As in previous editions of the RED workshop, papers presented at the workshop (including long and short) will be invited to be revised and extended for a second peer-review process. At the issue of the second review process, accepted papers will be published in a volume of Lecture Notes in Computer Science by Springer.


May 29-June 2,  2011
Heraklion, Greece
At the 8th Extended Semantic Web Conference
(ESWC 2011)
Topics of Interest include (but are not limited to)

  • Ontology-based Resource Discovery. 
  • Formalisms to semantically describe resources as well as user preferences and quality.
  • Resource Discovery query languages.
  • Applications to register, produce and consume resources, e.g. crawlers, search engines, federated frameworks.
  • Query rewriting over Web resources such as Web Services and Linked Datasets.
  • Cost-models and Optimization for Resource Discovery.
  • Automatic extraction of metadata.
  • Scalable architectures for Resource Discovery.
  • Applications in e-government, life science, healthcare, among others.
  • Benchmarks for Resource Discovery Evaluation.