Web and text intelligence are related areas that have been used to improve human computer interaction in general and in particular to explore and analyse information available on the Internet. Both areas benefit from knowledge, concepts and techniques from artificial intelligence, statistics, linguistic, graph theory, among other fields. Web and Text Mining are hot application areas for AI and source for inspiration for new AI methods and algorithms. The growing of social networks and Web site interactivity demands more powerful representation for Web and its dynamics, such as Graphs and Complex Networks. Complex Network formalisms are being applied not only for the Web but to approach many other complex phenomena studied in AI. Known developments are self adaptive web sites, usage monitoring, web site personalization, social network analyses, community detection, automatic Web site organization, information retrieval, information extraction, large document collection mining and exploration, visualization, usability, among others.

The Web and Text Intelligence workshop expects to 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.

This workshop is a follow up of the 3rd International Workshop on Web and Text Intelligence which took place in São Bernardo, Brazil, October 2010, as a workshop of SBIA10; the 2nd International Workshop on Web and Text Intelligence which took place in São Carlos, Brazil, September 2009, as a workshop of STIL09; the 1st Web an Network Intelligence which took place in Aveiro, Portugal, October 2009, as a thematic track of EPIA09; and the 1st International Workshop on Web and Text Intelligence which took place in Salvador, Brazil, October 2008, as a workshop of SBIA08.


Topics of interest
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Web and text 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
Information Retrieval
Information Extraction
Ontologies in Text Mining
Document and Text Classification
Visual Text Mining


Submission instructions
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Paper registration and submissions to WTI 2012 will be handled using the JEMS system. The address is:

JEMS system address: https://submissoes.sbc.org.br/home.cgi?c=1616

We will only accept files in pdf format. Please do not try to upload other formats, they will be rejected by the system. Note also that we only accept electronic submissions through JEMS. Please do not send papers directly to the PC-chairs. Submissions sent by regular courrier or by email will not be considered.


Format
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All submissions will be refereed by experts in the field based on originality, significance, quality and clarity. Every submitted paper to WTI will be reviewed by at least two members of the Program Committee. Papers must be prepared according to the LNCSLNAI style template (http://www.springer.de/comp/lncs/authors.html) and must be no more than ten (10) pages long, in English, Portuguese or Spanish, including figures and bibliography.


Also, please include keywords in your article (after the abstract) when submitting your paper, in order to facilitate the revision process, especially if you have selected "Other" as a topic during the submission of your abstract). Please assign at least one topic to your paper. Submissions not following the formatting guidelines will be excluded from the reviewing process.


The selected papers will be included on CD-ROM if at least one author registers to the BRACIS conference and presents the paper.


After the conference, authors of best papers will be invited to submit an extended version of their papers for possible inclusion in the JBCS - the Journal of the Brazilian Computer Society.