JBCS 2014 - Special Issue Web and Text Intelligence (JBCS)

Journal of the Brazilian Computer Society
Editor-in-Chief: Maria C. de Oliveira http://www.springer.com/computer/journal/13173
Special issue on Web and Text Intelligence
Including, but not restricted to, articles from the IV International Workshop on Web and Text Intelligence (WTI ? 2012). Extended versions of articles published at WTI 2012 will go through a new editorial process
Guest Editors
Alneu de Andrade Lopes, ICMC-USP, Brazil
Alneu at icmc usp br
Alípio Jorge, U. Porto, Portugal
AMJorge at fc up pt
Ricardo Prudêncio, UPFE, Brazil
RBCP at cin fpe br
Solange Rezende, ICMC-USP, Brazil
Solange at icmc.usp.br
Important dates
Submission : 15 May 2013 (extended)
First round results: 31 June 2013
Revised versions: 15 August 2013
Final Results: 30 October 2013
Publication online first : Jan/Fev 2014
Aims and Scope
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 co llection mining and exploration, visualization, usability, among others.
This special issue will include relevant and novel 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, including potentially useful techniques for exploring textual sources and other kinds of contents.
Topics of interest
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
Opinion Mining
other related topics.