[Asis-l] 2nd Call for Papers: Using Search Engine Technology for Information Management (USETIM 2009)

[ggrefens at exalead.com]

Using Search Engine Technology for Information Management  (USETIM 2009) Aug
24, 2009 - Aug 24, 2009, Lyon, France
Call For Papers	

Submission Deadline: May 10, 2009
Notification Due:    May 29, 2009
Final Version Due:   Jun 20, 2009
submission link: http://www.easychair.org/conferences/?conf=usetim2009
call links http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=5101,
http://www.vldb2009.org/ 

Theme

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 to be explored: 

- 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 


This workshop explores the application of information retrieval and search
engine technologies and paradigms in the context of traditional information
management systems and applications. Traditional systems often use
relational databases management systems which offer many advantages for
information management: providing a normative modeling of data, ensuring
transaction security, access control, protecting data through versioning and
rollbacks, formal specification of interprocess communication. But with this
data-centered security comes implementation and exploitation costs that
reduce flexibility, reduce response time, and limit access in information
management systems. Many of the uses of databases might be offloaded by
replicating the data in easier-to-access and scalable technologies such as
search engine technologies. For rapid prototyping, mature search engine
technology might be a low-cost solution for aggregating, repurposing and
mashing up data in novel ways. There has been a growing tendency of
including more and more semantics in information retrieval systems
(information extraction); and using databases to stored unstructured
(documents) and semi structured (XML) data. The focus of this workshop will
be examine the opposite problem, exploring the opportunities of moving from
structured databases to information retrieval systems which nonetheless
recognize and maintain native semantic structure of the data. 

As information retrieval and information management communities grow closer
together, this workshop will provide a meeting point for discussing
technology overlap. 

Program Committee Chairs 

	Gregory Grefenstette --- Exalead, France 
	Wolfgang Nejdl --- University of Hannover, Germany 
	David Simmen --- IBM Almaden, USA 


Paper formatting guidelines: http://vldb2009.org/?q=node/5 Papers
submissions (4-8 pages) :
http://www.easychair.org/conferences/?conf=usetim2009 

Confirmed Program Committee Members 

	Rakesh Agrawal --- Microsoft, USA 
	Holger 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