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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 Second 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
Submission deadline: May 24th,
2009
Acceptance notification: tbd
Camera ready: tdb
Maximum number of pages: 15 pages
(long papers) and 8 pages (short papers) in LNCS format
Workshop Chair
Zoé Lacroix, Arizona State
University and Translational
Genomics Research Institute, (TGen) USA
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