Call for Papers
TITLE: Machine Learning in the New Information Age  (MLNIA)
ECML-2000 / MLnet Workshop 
Barcelona, Catalonia (Spain), May 30, 2000
WWW:  http://www.ics.forth.gr/~potamias/mlnia.html
__________________________________________________________________________


ORGANIZERS
George Potamias [1,2],  Vassilis Moustakis [1,3] , and Maarten van Someren [4]

[1] Institute of Computer Science, Foundation for Research and Technology ­
Hellas (FORTH),  
        GR-71110 Heraklion, Crete, Greece, potamias@ics.forth.gr
[2] Dept. of Computer Science, University of  Crete,  GR-714 09 Heraklion,
Crete, Greece
[3] Dept. of Production Engineering and Management, Technical University of
 Crete,
        GR-731 00 Chania, Greece, moustaki@logistics.tuc.gr
[4] Dept. of Social Sciences Informatics (SWI), 
        1018 WB Amsterdam, The Netherlands, maarten@swi.psy.uva.nl

OBJECTIVES
Internet revolution increasingly produces unwieldy volumes of distributed
information 
resources. Users in this environment require capabilities to support the
efficient and 
effective creation, processing, and access to information, tools, and
people. In this 
environment, the user will have access to a broad range of global
information sources 
and services. Interactions will be user, task, and situation tailored, with
self-organizing 
information spaces rapidly configured to meet operational needs.
Intelligent agents will 
monitor, filter, search, extract, translate, fuse, mine, visualize, and
summarize information 
for a variety of operational needs. 

The technology of Digital Libraries and Knowledge Management have made
significant 
advances in developing key enabling technologies for processing large
volumes of information 
distributed across enterprise and community-wide environments. Machine
learning is a 
key-technology, which should adapt to this new information age for tasks
that range from 
information summarization, clustering, intelligent agents, and
visualization as they apply to 
building large, digital library and enterprise knowledge bases.

AREAS OF INTEREST
Objective of the workshop is to explore ML potential in the context of, and
associated with 
new information age tasks such as (non-exclusive list):
- Data Mining from Heterogeneous and Distributed Information Spaces
- Interoperable Machine Learning & Data Mining (CORBA, XML, Java)
- Machine Learning & Information Retrieval
- Information & Knowledge Fusion
- Ontologies and multi-linguality
- Personalized Information/Content Delivery and Knowledge Sharing
- WWW content adaptation and user profiling, mobile agents
- Enterprise Information Portals

SUBMISSION OF PAPERS
=>TYPES of papers (expected):
- Application papers
- Papers presenting Methodological and/or Architectural issues
- Position papers
=> FORMAT: See WShop's WWW page
(http://www.ics.forth.gr/~potamias/mlnia.html) for 

IMPORTANT DATES
- Paper submission deadline  (to potamias@ics.forth.gr) 24  March 2000
- Papers to authors with reviewers comments                              18  April 2000
- Final camera ready  (to potamias@ics.forth.gr)                          5  May 2000
- Workshop                                                               30  May 2000 

FURTHER INFORMATION
WWW: http://www.ics.forth.gr/~potamias/mlnia.html
Dr. George Potamias
Tel: +30 81 391693
Fax: +30 81 391601
Email: potamias@ics.forth.gr
Postal address: Institute of Computer Science, FORTH, P.O. Box 1385, GR-711
10 Heraklion, Greece.