Contextual information portals

Jay Chen, Trishank Karthik, Lakshminaryanan Subramanian

Research output: Chapter in Book/Report/Conference proceedingConference contribution


There is a wealth of information on the Web about any number of topics. Many communities in developing regions are often interested in information relating to specific topics. For example, health workers are interested in specific medical information regarding epidemic diseases in their region while teachers and students are interested in educational information relating to their curriculum. This paper presents the design of Contextual Information Portals, searchable information portals that contain a vertical slice of the Web about arbitrary topics tailored to a specific context. Contextual portals are particularly useful for communities that lack Internet or Web access or in regions with very poor network connectivity. This paper outlines the design space for constructing contextual information portals and describes the key technical challenges involved. We have implemented a proof-of-concept of our ideas, and performed an initial evaluation on a variety of topics relating to epidemiology, agriculture, and education.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence for Development - Papers from the AAAI Spring Symposium, Technical Report
PublisherAI Access Foundation
Number of pages6
ISBN (Print)9781577354550
StatePublished - 2010
Event2010 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 22 2010Mar 24 2010

Publication series

NameAAAI Spring Symposium - Technical Report


Other2010 AAAI Spring Symposium
Country/TerritoryUnited States
CityStanford, CA

ASJC Scopus subject areas

  • Artificial Intelligence


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