USETIM 2009

USETIM 2009
Using Search Engine Technology for Information Management
Subevent of	VLDB 2009
Dates	2009/08/24 (iCal) - 2009/08/24
Homepage:	www.wikicfp.com/cfp/servlet/event.showcfp?eventid=5101
Location
Location:	Lyon, France
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Important dates
Submissions:	2009/05/17
Table of Contents

For information management, databases offer precise, controlled access to data. But, they do not offer the easy-to-use search capabilities that most knowledge workers manipulate daily on sites such as Google. Access to information contained in databases is more difficult, and more restricted. One solution to this information bottleneck is to let search engines support the brunt of the work, by offloading information from the database into alternative infrastructures, such as that provided by search engine technology. Many business applications such as search, report generation and data analysis might be performed more efficiently on the replicated data without involving the native database technology, e.g. transactions. These offloaded databases, retaining some of their structure, can be recombined, mashed up, creating one-off, possibly disposable, databases, while the primary data is safe in the original database. This workshop will examine the limits and potentialities of use information retrieval and search engine technology for information management (IM) applications.

Topics

search engine as a database

business intelligence applications without OLAP

optimization of relational database search

affordances of search engine technology for database offloading

mashups for user applications

content aggregation systems

limits of database offloading

database connectors

access-optimized databases

disposable databases

optimizing access, flexibility, and scalability

Submissions

Submission Deadline: May 17, 2009

Important Dates

Notification Due: May 29, 2009 Final Version Due: Jun 20, 2009 Conference: Aug 24, 2009

Committees

• Co-Organizers
• General Co-Chairs
  • Gregory Grefenstette, Exalead, France
  • Wolfgang Nejdl, University of Hannover, Germany
  • David Simmen, IBM Almaden, USA

• Program Committee Members
  • Rakesh Agrawal, Microsoft, USA
  • Hannah Bast, Max-Planck Institute, Germany
  • Lukas Biewald, Dolores Labs, USA
  • Stefano Ceri, Politecnico de Milano, Italy
  • Eben Haber, IBM, USA
  • Donald Kossmann, ETHZ, Switzerland
  • Pankaj Mehra, HP, Russia
  • Johannes Meinecke, SAP, Germany
  • Guillaume Pierre, Vrije Universiteit, Netherlands
  • Swami Sivasubramanian, Amazon, USA
  • Qi Su, Aster Data Systems, USA
  • Øystein Torbjørnsen, FAST, Norway
  • Ingmar Weber, EPFL, Switzerand