I-FGM as a Real Time Information Retrieval Tool for E-Governance

Abstract

Homeland securiEy and disaster reliefore some oflhe crilical Uri'US o/t.:-gol'ernance Ihat have to deal with vast amounts ofdynamic heterogeneous Jala. Providing rapid reul-lime search capobilitiesjor such (Ippli calions is a challenge. Intelligent Foraging, Galhering, and .\latching (I-FGM) is an estublishedji"Wllell'ork developed to assistllsers 10 find infornwlion qllickl)' and eJfective(v by incremelJ/all)' collecting. lil'Ocessing and malching information nllggels This jraTilell'Ork has been sllccessfitlly IIsed to develop a distribll/ed, unstructured lexl retrieval application. In this papeJ: we apply the I-FGA1 framework 10 image collections by using a concept-based image retrieval method H"e {lpproaclz fhis by incrementally processing images. ex tracting low-level jeatures and mapp;ng them 10 higher level concepts. Our empiricol evaluation sholl's that 0111' approach performs competitively compared 10 some existing approaches in terms ofretrieving relevant images while offering Ihe speed advalJ/oges o/distrlbliled and incremental piVcess and unifiedjramclI'ork between lexl and images