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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 First 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: August 30th
Acceptance notification: September 30th
Camera ready: October 15th
Maximum number of pages: 10 pages
Publication
The workshop proceedings will published by ACM with the ISBN
978-1-60558-349-5. Selected papers will be invited to a special issue
devoted to Resource Discovery published by the International Journal
of Metadata, Semantics and Ontologies
(IJMSO)
ISSN (Online): 1744-263X
- ISSN (Print): 1744-2621
Workshop Chair
Zoé Lacroix, Arizona State
University and Translational
Genomics Research Institute, (TGen) USA
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