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The Web presents a key driving force for a large spectrum of applications in which a user interacts with a company, a governmental authority, a non-governmental organization or other non-profit institution or other users. User preferences and expectations, together with usage patterns, form the basis for personalized, user-friendly and optimal services. Key metrics enabled by proper data capture and processing are essential to run an effective business or service. Enabling technologies include data mining, scalable warehousing and preprocessing, sequence discovery, real time processing, document classification, user modeling and quality evaluation models for them. Recipient technologies that demand for user profiling and usage patterns include recommendation systems, Web analytics applications, application servers coupled with content management systems and fraud detectors.
Research advances associated with knowledge discovery on the Web observe the Web as a social medium for exchange and cooperation, as a semantic network where people find information and contribute information (by means of documents, annotations and comments) and as a place for doing business, launching business and promoting business. WEBKDD 2008 will bring together researchers and practitioners on these aspects of the Web. The emphasis is on lessons learned, recent advances and open issues for the next decade.
WEBKDD 2008 will be the 10th anniversary workshop on knowledge discovery on the Web, taking place at the KDD since 1999.
WebKDD presentations have historically been of high quality and influence, and workshops have in the past attracted not only audience from academia, but also a significant audience from industry and government agencies. Altogether, the papers at the past WEBKDD workshops have accumulated about 940 citations, including 7 patent citations that cite the workshop as the premier reference on the topic of Web usage analysis. (The citations are from Google Scholar, accessed between Feb. 10 and Feb. 12, 2008.)
In WEBKDD 2008, we anticipate a wrap-up and lessons-learned from 10 years of research on mining the Web, the Semantic Web(s) and the social Web and a research agenda for the years to come.
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