RED 2010
         Heraklion, Greece, May 27-31, 2012

  Fifth International Workshop on Resource Discovery
 

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RED Fifth International Workshop on
REsource Discovery (Full-day)

Existing Web infrastructures such as the Semantic Web, Linking Data Projects, and Semantic Grids have supported the publication of a tremendous amount of resources. In order to provide users with the capability of using available resources in their day-to-day tasks, scalable infrastructures and efficient techniques to discover, select and access resources are required. Semantic descriptions of functionally and quality of resources as well as user preferences, play an important role in the achievement of this goal.

A resource may be a data repository, a database management system, a SPARQL endpoint, a link between resources, an entity in a social network, a semantic wiki, or a linked service. Resources are characterized by core information including a name, a description of its functionality, its URLs, and various additional Quality of Service parameters that express its non-functional characteristics. Resource discovery is the process of identifying, locating and selecting existing resources that satisfy specific functional and non-functional requirements; also, resource discovery includes the problem of predicting links between resources. Current research includes crawling, indexing, ranking, clustering, and rewriting techniques, for collecting and consuming the resources for a specific request; additionally, processing techniques are required to ensure an efficient and effective access of the resources.

The Fifth International Workshop on Resource Discovery aims at bringing together researchers from the database, artificial intelligence and semantic web areas, to discuss research issues and experiences in developing and deploying concepts, techniques and applications that address various issues related to resource discovery. Papers presenting theoretical or applicative material are expected. This fifth edition will focus on techniques to efficiently collect and consume resources that are semantically described. Approaches of special interest that can contribute to solve the resource discovery problem are query rewriting in Databases, service selection and composition in Service Oriented Architectures, social network navigational techniques, link prediction techniques, and strategies to process queries against Linked Data or SPARQL endpoints.


Workshop key dates

Full Paper Submission Deadline: March 4, 2012 Hawaii Time
Acceptance notification:
April 1, 2011
Camera ready:
April 15, 2011
Workshop Full-Day: May 27/28, 2011
 

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

Papers accepted to workshop will be available on-line. All papers presented at the workshop 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. 



Workshop Chairs

Zoé Lacroix, Arizona State University, USA.
María-Esther Vidal, Universidad Simón Bolívar, Caracas, Venezuela.

Workshop Organizing Committee

Edna Ruckhaus, Universidad Simón Bolívar, Caracas, Venezuela.
María-Esther Vidal, Universidad Simón Bolívar, Caracas, Venezuela.

LNCS Springer


May 27-31,  2012
Heraklion, Greece
At the 9th Extended Semantic Web Conference (ESWC 2012)
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 and Social Networks.
  • Resource Discovery and Peer-to-Peer.
  • 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.
  • Link prediction techniques for Resource Discovery.
  • QoS-based Resource Discovery and Ranking Techniques.
  • Query Optimization and Execution Techniques for Web Resources.
  • Automatic extraction of metadata.
  • Scalable architectures for Resource Discovery.
  • Applications in e-government, life science, healthcare, among others.
  • Benchmarks for Resource Discovery Evaluation.