[ieeetcsc-discuss] 2008 IEEE MAW-08 Call for Papers

[Laurence T. Yang]

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                                    Call for Papers


The 2008 IEEE International Symposium on Mining the Asian Web (IEEE MAW-08)

In conjunction with AINA 2008

              Okinawa, Japan

                       March 25-28, 2008

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In the early days of the World Wide Web, web pages were predominantly 
written in English. As the web has become an indispensable resource to 
find information, nowadays many web documents can be found in other 
languages, notably in an Asian language such as Chinese, Japanese or 
Korean. Furthermore, meta-multilingual search is deemed to be a 
promising vehicle to increase the scope and the performance of web 
search. These advances naturally lead to wider research areas, venues, 
and issues. Since most commonly used web search and mining algorithms 
were originally developed for English web documents, these algorithms 
may need to be fine-tuned and modified for other languages. Data mining, 
artificial intelligence and information retrieval techniques used in web 
mining must now consider the linguistic aspects, national culture, and 
the business practices of the respective countries.

 

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Conference URL: http://www.ece.uvic.ca/MAW08/

 

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IMPORTANT DATES:

   Full Paper submission deadline: October 1, 2007
   Author Notification: November 15, 2007
   Final camera-ready manuscript (to be published by the IEEE Computer 
Society Press): December 21, 2007

 

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This symposium aims to bring together scientists, engineers and 
practitioners to discuss and exchange ideas, and present their research 
work in the three categories of web mining: structure, content, and 
usage, with a focus on the Asian Web. Topics of interest that MAW-08 
covers include (but are not limited to):

    * Data mining and information retrieval techniques
    * Natural language processing
    * Knowledge discovery
    * Information fusion in meta-search
    * Text categorization and clustering
    * Multilingual web search
    * Collaborative filtering
    * Email and blog mining
    * Web search optimization
    * Web site ranking

 

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