The Web, and Networks in general, provide very important applications
for Artificial Intelligence. While the area of Web Intelligence brings together
Web Mining, Information Retrieval and Web Analysis, the growing social
interaction in Web sites demands for more powerful models for representing Web
structure and dynamics, such as Complex Networks and Graphs. At the same time,
Complex Networks and Graphs are being used to approach non trivial problems in
other areas such as Social Network Analysis, Telecommunications, Health,
Ecology, etc. Known developments in Web and Network Intelligence are self
adaptive Web sites, usage monitoring, Web site personalization, social network
analyses, community detection, automatic Web site organization, large document
collection mining and exploration, visualization, usability and others. The Web
and Network Intelligence EPIA09 track will gather researchers who work on
methods and theories (and their applications) that help us to understand the
Web and to build automatic tools for better exploiting its complex world. We
also would like to bring together researchers who develop new network-based
approaches that contribute to AI in general and to Web Intelligence in
particular.
This track is a
follow up of the 1st International Workshop on Web and Text Intelligence (http://www.liaad.up.pt/~wti08/) which took place
in Salvador, Brazil, October 2008, as a workshop of SBIA08. WTI focused on Web
and Text. In EPIA there is a specific thematic track specialized in Text, so
the focus of WNI is on mainly Web and Networks. However, contributions dealing
with text and the Web or text and Networks may be also relevant here.
Topics of interest
·
Web mining
·
Visual Web mining
·
Link mining
·
Web usability
· Web automation and adaptation
· Web content mining
· Multimedia Web mining
·
Recommender systems for the Web
·
Focused crawling
·
Community detection
·
Social network mining and analysis
·
Graph mining
·
Complex networks
Important dates and other EPIA09
information
Track organizers
Alípio M. Jorge (amjorge..at..fep.up.pt, LIAAD,
INESC Porto LA, Fac. Economia, Univ.
Porto, LIAAD, R. Ceuta, 118, 6th floor. 4150-190
Porto, Portugal)
Alneu de Andrade
Lopes (alneu..at..icmc.usp.br)
ICMC – USP São Carlos – SP, Brazil
Solange Oliveira
Rezende (solange..at..icmc.usp.br) ICMC – USP São
Carlos – SP, Brazil
Program Committee
Alípio Jorge, U. Porto, Portugal
Alneu Lopes, USP, Brazil
Bettina Berendt, K. U. Leuven, Belgium
Carlos Soares, U. Porto, Portugal
Debora Donato, Yahoo! Research, Spain
Dunja Mladenic, Josef Stefan Institute, Slovenia
Eduarda Mendes Rodrigues, Microsoft Research, UK
Florent Masseglia, INRIA, France
Gael Harry Dias, UBI, Portugal
Giovanni Semeraro, University of Bari, Italy
José Luís Borges, U. Porto, Portugal
José Paulo Leal, U. Porto, Portugal
Lubos Popelinsky, Mazarik University, Czech Republic
Maarten van Someren, U. Amsterdam, Netherlands
Maguelonne Teisseire, U. Montpellier, France
Maria Carolina Monard, USP, Brazil
Maria Cristina Ferreira de Oliveira, USP, Brazil
Mario J. Silva, Universidade de Lisboa, Portugal
Nuno Cavalheiro Marques, Universidade Nova de Lisboa, Portugal
Paulo Azevedo, U. Minho, Portugal
Pavel Brazdil, U. Porto, Portugal
Pedro Campos, U. Porto, Portugal
Ruth Cobos, U. Autónoma de Madrid, Spain
Sarabjot Anand, U. Warwick, UK
Solange Rezende, USP, Brazil
Thiago A. S. Pardo, USP, Brazil
Zhao Liang, USP, Brazil