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Exploiting semantic extraction for spacial-temporal indexing in GEONODE
2000
Open research Areas in Information Retrieval
T his paper presents an approach to information access based on spatiotemporal indexing. We describe GeoNODE, a "news on demand" system that visualizes news stories and other articles in terms o f chronological tim e lines, geographical m aps, and spatiotem poral anim ations. This spatiotemporal indexing is critically inform ed by our inform ation extraction system , A lem bic. This paper thus covers several dim ensions o f the technological partnership betw een G eoN O D E and A lem bic. We
dblp:conf/riao/VilainHH00
fatcat:qaudieio2zcuxmxeid75ne6izi