Abstract
EDIT - Extracting Disaster Information from Text – is a methodology for the treatment of textual information extracted from the web, originated by non-expert users and referring to the occurrence of a disaster event. The project was born from a collaboration between CIMA Foundation (Italy) and the Nottingham Geospatial Institute (NGI) (United Kingdom). The methodology addresses the task of integrating unstructured knowledge into operative tools. It focuses on: the semantic analysis of online news and tweets; the automatic extraction of relevant data to enhance knowledge about disasters; the evaluation of reliability of data; the archive into an event-oriented database; the visualization of scenario maps. The study represents the starting point of a new way of approaching disaster scenarios and it is proposed that the approach is taken forward for future large-scale implementation.
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Traverso, S., Cerutti, V., Stock, K., Jackson, M. (2014). EDIT: A Methodology for the Treatment of Non-authoritative Data in the Reconstruction of Disaster Scenarios. In: Hanachi, C., Bénaben, F., Charoy, F. (eds) Information Systems for Crisis Response and Management in Mediterranean Countries. ISCRAM-med 2014. Lecture Notes in Business Information Processing, vol 196. Springer, Cham. https://doi.org/10.1007/978-3-319-11818-5_4
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DOI: https://doi.org/10.1007/978-3-319-11818-5_4
Publisher Name: Springer, Cham
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