Information Uptrieval: Exploring Models for Content Assimilation and Aggregation for Developing Regions
Information Retrieval on the WWW is important because it is hard to nd what one is looking for. There is a plethora of information available, and searching relevant information is a challenge. In the case of developing regions, we have the opposite problem: (1) Information availability of global markets is scarce. Most of the consumers and producers (of information as well as goods) are relegated to local markets in geographical vicinity. In order to reach wider markets, it is important for this local information to reach wider audiences. (Local information for global consumption LIG model). (2) At the same time, locally relevant information, such as delays in bus/train timings, mobile medical van schedule changes, electricity outage timings, is not easily available either. (Local information for local consumption LIL model). We introduce the term Information Uptrieval to address the reverse problem of acquiring, assimilating, ag-gregating and uploading global and local information that is relevant for developing regions to a platform that improves the reach of the information. While the WWW is an ob-vious example of one such platform, given the low internet penetration in such regions, we need to explore effictive al-ternatives. Several innovative, but disconnected approaches have been attempted to address the information uptrieval problem, ranging from the use of DVDs1 through the use of wireless stations on motorcycles2. Many of these have met with reasonable success in their pilot deployments. Categories and Subject Descriptors H.4.m Information Systems: Miscellaneous
Developing Regions Information Managemen
Sheetal Agarwal Arun Kumar Sougata Mukherjea
Amit Anil Nanavati, Nitendra Rajput IBM India Research Laboratory 4, Block C, Vasant Kunj, Institutional Area, New Delhi - 110070, INDIA.
国际会议
第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)
北京
英文
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）