RED 2008

RED 2008
First International Workshop on Resource Discovery
Dates	Nov 24, 2008 (iCal) - Nov 26, 2008
Homepage:	bioinformatics.eas.asu.edu/RED/red2008.html
Location
Location:	Linz, Austria
Loading map... {"minzoom":false,"maxzoom":false,"mappingservice":"leaflet","width":"280px","height":"280px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"wmsoverlay":false,"copycoords":false,"static":false,"zoom":false,"defzoom":14,"layers":["OpenStreetMap"],"overlaylayers":[],"resizable":false,"enablefullscreen":false,"scrollwheelzoom":true,"markercluster":false,"clustermaxzoom":20,"clusterzoomonclick":true,"clustermaxradius":80,"clusterspiderfy":true,"geojson":"","locations":[{"text":"\u003Cb\u003E\u003Cdiv class=\"mw-parser-output\"\u003E\u003C/div\u003E\u003C/b\u003E\u003Chr /\u003E\u003Cdiv class=\"mw-parser-output\"\u003E\u003C/div\u003E","title":"","link":"","lat":48.3059078,"lon":14.286198,"icon":""}],"imageoverlays":null}
Important dates
Submissions:	Jul 1, 2008
Notification:	Sep 30, 2008
Table of Contents

First International Workshop on REsource Discovery (RED)

• http://bioinformatics.eas.asu.edu/RED/red2008.html
• in conjunction with 10th International Conference on Information Integration and Web-based Applications & Services (iiWAS2008)
• 24-26 November 2008
• Linz, Austria from

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 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.

Topics of interest include (but are not limited to)

• Service publication standards (UDDI, OWL-S, etc.)
• Web services
• BioMoby services
• Resource semantics
• Resource formats and metadata
• Resource metadata for efficient execution
• Data-centric Web services
• Domain ontologies for resources
• Metadata models for describing web resources
• Automatic extraction of metadata in particular with Web 2.0 tools (wikis, blogs...)
• Models for registration of resources
• Automatic registration of resources
• Resource indexing
• Visualization of resource metadata
• Query languages for resource discovery
• user-friendly interface for resource discovery
• Resource mining, discovering services on the Web
• Mobile web services
• Service discovery protocols
• Identification protocols that can distinguish between resources and metadata
• Interoperability-driven resource discovery
• Discovery for integration, composition, workflow, dataflow
• Metadata for resource mapping
• Dynamic service composition
• Service efficiency prediction
• QoS-based service discovery
• Resource relevance measures
• Semantics-driven resource discovery
• Discovery on the private (or invisible) web

Workshop information

The workshop will take place in Linz, Austria from 24-26 November 2008. Please visit the conference website for more information: http://www.iiwas.org/conferences/iiwas2008/.

Workshop key dates

• Submission deadline: July 1st
• Acceptance notification: September 30th
• Camera ready: October 15th
• Maximum number of pages: 10 pages

Publication

The workshop proceedings will published by the Austrian Computer Society (OCG) books@ocg.at series. We expect to invite selected papers to be extended for publication in a special issue of the International Journal of Web and Grid Services (IJWGS) (www.inderscience.com/)

Workshop Chair

Zoe Lacroix, Arizona State University and Translational Genomics Research Institute, USA Contact: zoe@iiwas.org

Program committee

• Bernd Amann, LIP6, Universit? de Pierre et Marie Curie, France
• Marie-Dominique Devignes, INRIA Lorraine, LORIA, France
• Juliana Freire, University of Utah, USA
• Christine Froidevaux, LRI, Universite Paris-Sud (Orsay), France
• Carole Goble, School of Computer Science, University of Manchester, UK
• Daniela Grigori, Universit? de Versailles Saint-Quentin, France
• Cartik Kothari, University of British Columbia, Canada
• Phillip Lord, School of Computing Science, Newcastle University, UK
• Bertram Ludascher, University of California, Davis, USA
• Herve Menager, Institut Pasteur, France
• Peter Mork, The MITRE Corporation, USA
• Patricia Rodriguez-Tome, Center for Advanced Studies, CRS4, Italy
• Malika Smail-Tabbone, LORIA and Universite Henri Poincare, France
• Pierre Tuffery, INSERM & Universite Diderot (Paris 7), France
• Maria-Esther Vidal, Universidad Simon Bolivar, Venezuela

This CfP was obtained from WikiCFP