First International Workshop on
      Mining for Enhanced Web Search

             (MEWS 2002)

                Held in conjunction with WISE 2002

Workshop Description

Topics

Paper Submission

Organization

Important Dates

Workshop Description

With the explosive growth of the World Wide Web, we are currently drowning in “data oceans” and facing serious “data overload”. Current Web searching engines, mainly based on traditional IR technologies, are insufficient to truly meet users’ information needs. We foresee that the biggest challenge in the next several decades is how to effectively and efficiently dig out a machine-understandable information and knowledge layer from unorganized Web data. As a result, there has been a rapid growth in the area of Web Mining, which focuses on automatically discovering information and knowledge through the analysis of Web contents, Web structure and Web usages (logs). Since the Web is huge, heterogeneous and dynamic, automated Web information and knowledge discovery calls for novel technologies and tools, which may take advantage of the state-of-the-art technologies from various areas, including machine learning, data mining, information retrieval, database and nature language processing. The mined information and knowledge will greatly improve the effectiveness of current web searching and enable much more sophisticated web information retrieval technologies in the future.

Topics

This workshop aims to provide a forum for sharing valuable experience among researchers from different communities. We invite original contributions related to using Web mining to enhance Web searching. Topics of interest include, but are not limited to:

• Web mining & Semantic Web
• Mining to construct Web database
• Mining to construct Web knowledge base
• Web structure/link analysis & Web searching
• Semi-structured data/XML mining & Web searching
• Text mining & Web searching
• Log mining & Web searching
• Personalized Web searching
• Social network mining on the Web
• Schema and content discovery of dynamic website/service
• Web information extraction
• Web mining & multimedia retrieval

Paper Submission

Paper must be written in English and is no more than 5,000 words. Send a copy of your paper (in Postscript, or PDF format) to either of the program chairs based on the "important dates". At this stage of paper submission, we will not impose any specific paper format/style. Final papers will be limited to 10 US letter pages and will need to conform to IEEE Press templates.

Organization

  Program chairs

• Dr. Ji-Rong Wen (jrwen@microsoft.com), Microsoft Research Asia
• Prof. Huan Liu (hliu@asu.edu), Arizona State University, USA

  Publicity coordinator

• Prof. Qing Li (City University of Hong Kong, Hong Kong)

  Program committee

• Dr. Stéphane Bressan (National University of Singapore, Singapore)
• Dr. William Campbell (Motorola, USA)
• Prof. David Cheung (University of Hong Kong, Hong Kong)
• Prof. Hasan Davulcu (SUNY at Stony Brook, USA)
• Prof. Xiaoyong Du (Renmin University, China)
• Porf. Ling Feng (Tilburg University, Netherlands)
• Prof. Joydeep Ghosh (University of Texas at Austin, USA)
• Prof. Bing Liu (National University of Singapore, Singapore)
• Prof. Wenyin Liu (City University of Hong Kong, Hong Kong)
• Prof. Wee Keong Ng (Nanyang Technological University, Singapore)
• Prof. Jian-Yun Nie (University of Montreal, Canada)
• Prof. Sugata Sanyal (Tata Institute of Fundamental Research, India)
• Prof. Jaideep Srivastava (University of Minnesota, USA)
• Dr. Ah-Hwee Tan (Laboratories for Information Technology, Singapore)
• Prof. Takashi Washio (Osaka University, Japan)
• Dr. Graham Williams (CSIRO, Australia)
• Dr. Xiaowei Xu (Siemens, Germany)
• Prof. Jeffrey Yu (Chinese University of Hong Kong, Hong Kong)

Important Dates