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        <article-title>Fifth International Workshop on REsource Discovery</article-title>
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          <institution>Editors' addresses: Arizona State University Universidad Simo ́n Bol ́ıvar Department of Computer Science Valle de Sartenejas Caracas 1086</institution>
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          <country country="VE">Venezuela</country>
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      <p>Proceedings
c 2012 for the individual papers by the papers’ authors. Copying permitted for private
and academic purposes. Re-publication of material from this volume requires permission
by the copyright owners.
This volume contains abstracts from the technical program of the Fifth International
Workshop on REsource Discovery, held on May 27th, 2012. After four successful events, first
in Linz, Austria, joined to IIWAS (2008), then in Lyon, France, collocated with VLDB
(2009), next in Pontoise, France, joined again to IIWAS (2010), and the fourth edition in
conjunction with ESWC11. Finally, the fifth International Workshop on REsource
Discovery (RED 2012) was run again together with ESWC in Heraklion, Greece.
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.</p>
      <p>The Fifth International Workshop on Resource Discovery aimed 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. This fifth edition focused
on techniques to efficiently collect and consume resources that are semantically described.
Approaches of special interest contribute to solve the resource discovery problem such as
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.</p>
      <p>We received seven submissions, out of which we selected five for inclusion in the digital
and printed proceedings. We set up an exciting program which included three invited talks.
The first on Semantic Source Modeling given by our invited speaker, Jose´ Luis Ambite;
the second, on the advantages of using semantic annotations in medical image
visualization given by Alexandra La Cruz; finally, Edna Ruckhaus presented Probabilistic Models
and Reasoning Techniques to Detect Inconsistencies in Linked Data. We organized two
sessions, one on Techniques for Resource Discovery and another section on Applications
of Resource Discovery.</p>
      <p>We thank the 25 members of our Program Committee, the invited speakers and the authors
for their valuable contribution to the workshop. We are also grateful to ESWC organizers
for their support in making this meeting successful. We kindly acknowledge the National
Science Foundation (grant IIS 0944126), and the DID-USB.</p>
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    <sec id="sec-2">
      <title>Zoe´ Lacroix, Edna Ruckhaus, Maria-Esther Vidal</title>
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        <title>Workshop Chairs and Organizing Committee</title>
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    <sec id="sec-3">
      <title>Zoe` Lacroix, Arizona State University, USA Edna Ruckhaus, Universidad Simo´ n Bol´ıvar, Venezuela Maria-Esther Vidal, Universidad Simo´ n Bol´ıvar</title>
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        <title>Program Committee</title>
        <p>52-66
67-80
81-88
89-103
104-118</p>
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