DAMIEN: DAta MIning for the EvolviNg Web

Workshop held in conjunction with the
13th East European Conference on Advances in Databases and Information Systems (ADBIS2009)

September 7th 2009, Riga, Latvia.

http://oswinds.csd.auth.gr/DAMIEN09/


The Web evolves in many distinct ways: ?t grows daily, it revolutionizes information circulation,
it disseminates knowledge, it demands on the spot data management. Its role for people shifts gradually
from that of a huge information source to that of a social environment. The topics discussed by people,
the products preferred by them and the social networks to which they participate are also subject to
constant change, as proven from the fast emergence of the Web 2.0 technologies.

This workshop is devoted to methods, techniques and practices for analyzing evolution in the Web.
Data mining for the evolving Web world is indispensable for business applications.
The success of a recommendation engine depends on the validity of the models it builds upon and
which are bound to a constant change as new products, new competitors and new spammers enter the market.
The behaviour and the interests of users change as the Web becomes more accessible to new social strata,
as new social trends manifest themselves, as new languages for blogging and querying gain momentum and
as people embrace new technologies for information exchange, collaborative tagging and social activities.
The evolving Web poses grand challenges to data analysis: Data about Web usage arrive as streams,
data describing Web content evolve with respect to topics and terminology, meta-information is
context-rich and ephemeral, preferences of users change in response to external influences,
coming among else from their evolving social networks. In this workshop, we foster research advances
on data mining methods, techniques and practices for analyzing evolving user behaviour and preferences,
evolving content and evolving communities, and we strongly encourage the interchange of ideas among
scholars that study evolution in the Web from different perspectives.

Topics of interest to DAMIEN?09 include, but are not limited to:

? Web data mining methodologies, techniques and practices
? evolving data analysis techniques
? user behaviour and preferences
? Web graph mining
? evolving content management
? Web 2.0 and social data mining
? Meta-information exploitation and knowledge extraction
? Evolving social networks.


Important dates

April 27, 2009: paper Submission deadline
June 1, 2009: Notification of Workshop paper acceptance
June 15, 2009: Submission deadline for camera-ready papers
September 7, 2009: Workshop date


Paper submission and presentation

The submission should be formatted according to Springer-Verlag requirements which are summarized at ADBIS 2009 submission requirements (www.adbis2009.org). Information for LNCS Authors can be found at http://www.springer.com/computer/lncs?SGWID=0-164-7-72376-0
All prospective authors are asked to submit an electronic copy of their manuscript according to submission timetable through the following web site (EasyChair system):
http://www.easychair.org/conferences/?conf=damien2009.
Each paper will be reviewed by at least two Program Committee members.
Final papers shall not contain more than 8 pages in the format specified by Springer. Best papers accepted for publication will be published in the LNCS series of Springer Verlag, the others ? in the ADBIS workshops proceedings.
presentation schedule : 15 min ? presentation; 5 min ? questions and comments

Chairs
Athena Vakali, Aristotle University of Thessaloniki, Greece (avakali@csd.auth.gr)
Myra Spilopoulou, Otto-von-Guericke-Universitat Magdeburg, Germany (myra@iti.cs.uni-magdeburg.de)
Ernestina Menasalvas, Universidad Politecnica de Madrid, Spain (emenasalvas@fi.upm.es)

Program Committee (tentative)
Joao Gama, University of Porto, Portugal
Dimitris Katsaros, University of Thessaly, Greece
Ioannis Kompatsiaris, CERTH/ITI, Greece
Themis Palpanas, University of Trento, Italy
Yucel Saygin, Sabanci University, Turkey
Evimaria Terzi, IBM Almaden, USA