Information Uptriever: A system for Content Assimilation and Aggregation for Developing Regions

Abstract

In the developing regions much of local information content is not available in form seasily indexable by web crawlers. In this paper we describe a new local data uploading system called Information Uptriever. The goal of Information Uptriever is to selectively upload local data relevant to a pre-defined set of decision-making situations. Rather than uploading normal (or all) information that does not necessarily result in an immediate action an Information Uptriever uploads actionable information that is likely to be most relevant in a decision-making situation and may lead to action. Using freely available resources on the web we implement the system for uploading actionable information pertaining to the domain of Indian higher education as a proof-of-concept. Our anecdotes suggest that uptrieving is very effective for uploading information relevant to a pre-defined set of actions. The live system is accessible at http://uptriever.googlepages.com