Refereed Track: E* Applications: E-Commerce, E-Business, E-Science, E-Learning, and E-Communities

Internet and Web technologies enable new kinds of applications, usually prefixed with a capital "E" as in E-Commerce, E-Business, E-Learning, E-Science or E-Communities. Such applications are often innovative in their use of these technologies, and support or require new work, learning, or business scenarios. Furthermore, focusing on these E* Applications leads to new requirements as well as to interesting new technologies or extensions of existing ones.

The E* Applications Track, new to WWW in 2006 (but unifying and broadening previous WWW tracks in each of E-commerce, education, and applications), provides a unique forum both for describing innovative E* applications and scenarios as well as innovative technologies for these areas. We welcome both studies relating to specific classes of E-Applications and to cross-cutting issues. Relevant topics include, but are not restricted to, the following:

• Service architectures — distributed Web services; web service technologies for e-Applications; embedded Web applications; Web standards for E* applications; data protection, security and privacy; ubiquitous computing and internet appliances; recommendation, reputation, and trust systems; computational markets for information services
• Data management — distributed and peer-to-peer-based learning and e-science repositories; scientific metadata and annotation management; intellectual property and digital rights management; data and workflow provenance for e-Science; scientific data quality and data cleaning
• Web-based collaboration and communities — collaboration and communities in web-based educational environments; E-Learning and E-Science community portals; synchronous collaboration applications and services; enterprise collaboration tools;
• Web-based workflows — scientific workflows and process automation; automated shopping, trading, and contract management; supply chains, coalitions, and virtual enterprises; web-based problem-solving environments for e-Science
• Ontologies and the semantic web — semantic Web and ontologies for E* applications; ontology-based data integration and analysis; languages for describing goods, services and contracts; ontologies for e-Science; conceptual modeling and knowledge represention for e-Science
• Data processing and visualization — data mining, analysis, and statistics in e-Science; scientific visualization and e-Science
• Experience Reports and case studies for E* applications

Accepted Papers

Chairs

• Mark Manasse , Microsoft Research, USA (Co-Vice Chair)
• Bertram Ludaescher, UC Davis, USA (Co-Vice Chair)
• Wolfgang Nejdl, L3S and University of Hannover, Germany (Co-Vice Chair)

PC Members

• Mark Manasse, Microsoft Research, USA (Co-Vice Chair)
• Bertram Ludaescher, UC Davis, USA (Co-Vice Chair)
• Wolfgang Nejdl, L3S and University of Hannover, Germany (Co-Vice Chair)
• Jürgen Angele, Ontoprise, Germany
• Lora Aroyo, Eindhoven University of Technology, The Netherlands
• Helen Ashman, University of Nottingham, UK
• Wolf-Tilo Balke, L3S and University of Hannover, Germany
• Elisa Bertino, Purdue University, USA
• Kalina Bontcheva, University of Sheffield, UK
• Shawn Bowers, UC Davis, USA
• Peter Brusilovsky, University of Pittsburgh, USA
• Rajkumar Buyya, University of Melbourne, Australia
• Vasa Curcin, Imperial College London, UK
• John Domingue, Knowledge Media Institute, UK
• Erik Duval, University of Leuven, Belgium
• Thomas Fahringer, University of Innsbruck, Austria
• Christoph Freytag, Humbolt University, Berlin, Germany
• Michael Gertz, University of California, Davis, USA
• Moustafa Ghanem, Imperial College London, UK
• Mark Greenwood, University of Manchester, UK
• Jeffrey Grethe, UC San Diego, USA
• Pilar Herrero, Polytechnic University of Madrid, Spain
• Andreas Hoheisel, Fraunhofer-Gesellschaft, Germany
• Nick Jennings, University of Southampton, UK
• Rohit Khare, CommerceNet
• Alfred Kobsa, UC Irvine, USA
• Rob Koper, Open University Netherlands, The Netherlands
• Ulf Leser, Humbolt University, Berlin, Germany
• Bob Mann, Royal Observatory, Edinburgh, UK
• Erica Melis, DFKI, Germany
• Peter Murray-Rust, Cambridge University, UK
• James Myers, National Center for Supercomputing Applications, USA
• Peter Rice, European Bioinformatics Institute, UK
• Rizos Sakellariou, University of Manchester, UK
• Daniel Schwabe, PUC Rio, Brazil
• Peter Scott, Knowledge Media Institute, UK
• Amit Sheth, University of Georgia and Semagix, USA
• Matthew Shields, University of Cardiff, UK
• Heinz Stockinger, University of Vienna, Austria
• Denise Tolhurst, University of New South Wales, Australia
• Ron van Schyndel, RMIT University, Australia
• Vincent Wade, Trinity College Dublin, Republic of Ireland
• Limsoon Wong, Agency for Science, Technology & Research, Singapore

Additional Reviewers

• Michael Dernt
• Ari Juels