FIMN 2008

FIMN 2008
Foundations of Information Management in Networks
Dates	Jul 6, 2008 (iCal) - Jul 6, 2008
Homepage:	www.dis.uniroma1.it/~leon/fimn08.html
Location
Location:	Reykjavik, Iceland
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Important dates
Submissions:	Jun 6, 2008
Table of Contents

Foundations of Information Management in Networks

July 6th, 2008, Reykjavik, Iceland

1-day workshop to be held in conjunction with the International Colloquium on 
Automata, Languages and Programming, ICALP 2008.

Confirmed Speakers:

* Ashish Goel: Incentives based robust reputation and recommendation 
systems   
* Maurizio Lenzerini: Integration and filtering of heterogeneous information   
* S. Muthukrishnan: Streaming and sampling algorithms for information 
aggregation in networks
* Giuseppe Persiano: Security of networks of low capability devices   
* Christian Scheideler: Algorithms for scalable and robust information systems

SCOPE:
Network information management is a growing area of research at the attention 
of several communities: Algorithms, Formal Methods, Information systems,  Data 
mining, Networks and Distributed Systems.  The reason of this interest is given 
by the recent emergence of information systems distributed across the network, 
pervasive systems, physical mobile and virtual networks of users.   These 
systems are often self-organized, interconnected, highly dynamic, expand up to 
include the users as source of content and intelligence, ask for a unifying view 
of data, services and users.  Query, search and retrieval of structured and 
unstructured information in such systems has already prompted a large body of 
research at the intersection between databases, information retrieval and 
networks.  Examples are peer-to-peer systems, distributed hash tables, 
distributed information retrieval,  filtering and integration of information,  
representation, query processing and  compression of structured data.   
Computing aggregate information and statistics in these systems require    
novel sampling, hashing and streaming techniques that operate with limited 
storage and computational  resources and/or   by looking only at a suitable 
subset of the data. In pervasive systems and networks of sensing   entities,  
local statistics often  need to be computed  at several vantage points in the 
network with even more severe restrictions.
These network systems are open and thus  prone to manipulation of malicious 
individuals and collectives. Mechanisms that protect the system  against  
manipulation using incentives, reward  and penalties are a wide subject of 
study as well as the equilibria they induce. On the other hand,   the devise of 
trust and reputation mechanisms  that cannot be manipulated by users and 
coalitions of users are also an important field of investigation.  We also observe 
a growing role of the players in  performing fundamental  tasks of the network.  
Users provide tags, annotation,  feedback in terms of  preferences and opinions. 
Modelling user behaviour and  learning  about user profiles from  logs and past 
behavior  is therefore becoming  crucial in several applications.

These  challenges  ask for  a more solid asset of the theoretical foundations  of 
information management in networks.  A number of position papers and recent 
results will be presented by key researchers in the area that will be invited to 
this workshop.   Several of these subjects are already of interest of the ICALP 
community, all tracks.  However, we believe that a more focussed and thorough 
presentation of the main challenges of these areas will make an original 
contribution to the conference.

Organizers:   

Stefano Leonardi (Sapienza University of Rome)        
Friedhelm Meyer auf der Heide (Heinz Nixdorf Institute - University of 
Paderborn)

For further information and registration, see 
http://www.dis.uniroma1.it/~leon/fimn08.html 
	

This CfP was obtained from WikiCFP