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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.
    … texts. Text mining (TM) – the extraction of structured con- tent from unstructured free text - is increasingly be- … Further Information: Nigel Collier, collier@nii.ac.jp www.biocaster.nii.ac.jp Advances in Disease Surveillance …
  • Content Type: Abstract

    Timely surveillance of disease outbreak events of public health concern currently requires detailed and time consuming manual analysis by experts. Recently in addition to traditional information sources, the World Wide Web … read more
    … Global Public Heath Intelligence Network (GPHIN). http://www.gphin.org [2] Damianos, L., Ponte, J., Wohlever, S., et …