WNI
Web and Network Intelligence
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 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
- Multi media Web mining
- Recommender systems for the Web
- Focused crawling
- Community detection
- Social network mining and analysis
- Graph mining
- Complex networks
Organising Committee
- Alípio M. Jorge, Universidade Porto, Portugal
- Alneu de Andrade Lopes, USP São Carlos – SP, Brazil
- Solange Oliveira Rezende, USP São Carlos – SP, Brazil
Contact
amjorge[at]fep[.]up[.]pt
Program Committee
- Alípio Jorge, U. Porto, Portugal
- Alneu Lopes, USP, Brazil
- Carlos Soares, U. Porto, Portugal
- Eduarda Mendes Rodrigues, Microsoft Research, UK
- 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, Masaryk University, Czech Republic
- Maarten van Someren, U. Amsterdam, Netherlands
- 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
- Sarabjot Anand, U. Warwick, UK
- Solange Rezende, USP, Brazil
- Thiago A. S. Pardo, USP, Brazil