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  • Content Type: Abstract

    We describe here a multilingual ontology to support disease surveillance by intelligent text mining systems from Web-based rumours. We informally assessed the coverage of its English terms on large sample of news collected from the Web.
    … on large collections of newswire and official reports. All terms were hand curated by a domain expert, a linguist … 102, symptoms from 116 to 144 and animals from 44 to 81. All root terms are cross-referenced against external … [1] Collier, N., Kawazoe, A., Jin, L., Shigematsu, M., Dien, D. Barrero, R., Takeuchi , K.and Kawtrakul, A. (2007), …