The rapid development of World Wide Web has dramatically changed the way in which information is managed and accessed. The information in Web is increasing at a striking speed. At present, there are more than 7,500 terabytes (or 4 billion web pages) of information in Web. Web information has covered all domains of human activities. This opened the opportunity for users to benefit from the available data. So Web is being concerned more and more.
Web can be divided into Surface Web and Deep Web. Traditional search engines create their indices by crawling Surface Web pages. Surface Web is the Web pages that are static and linked to other pages, while Deep Web refers to the Web pages created dynamically as the result of a specific search. Traditional search engines can not "see" or retrieve content in the Deep Web. On average, Deep Web receives fifty per cent greater monthly traffic than Surface Web. According to the survey released by UIUC in 2004, there are more than 300,000 Web databases and 450,000 query interfaces available at that time, and the two figures are still increasing quickly. Besides the scale of Web databases, the contents in Web databases are spanning well across all topics. Deep Web is being the largest growing category of new information on the Internet. The study on Deep Web will be one of the hottest areas in research.

Mobile data management mainly includes mobile database techniques, footprint database design and implementation on small mobile devices and moving objects data management. Mobile database techniques include mobile transaction management, data caching and replication, synchronization and publication, etc. Footprint database techniques include Flash-based storage and index model design, query processing and optimization in limited memory, transaction management, recovery techniques and synchronization. Moving objects data management includes modeling and tracking of dynamic location information, uncertainty management, spatio-temporal data access languages, indexing and scalability issues, location-dependent query processing, data mining (including traffic and location prediction), location dissemination, privacy and security, location fusion and synchronization.