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Importance of Relative Spatial Information (RSI) in EBS

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Importance of Relative Spatial Information (RSI) in EBS
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45
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production Year2022
Production PlaceWageningen

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Abstract
Syed Mehtab Alam is doing his PhD on topic “Generic methods for epidemiological monitoring based on the integration of heterogeneous textual data” funded by H2020 MOOD project. His PhD work focuses on the development of generic methods in order to extract new and relevant event in heterogeneous data textual in a One Health context. Previously, he was Research Associate in University of Bozen-Bolzano, Italy in which he mainly contributed in European funded project “COCkPiT” from 2018-2020. Since 2010, he was a part of different software organizations in which he was involved in different software development project across different domains i.e. Healthcare, European Taxi Systems, Mobile TV systems etc. The presentation is about the importance of relative spatial information (RSI) in EBS. Mehtab described the approach to extract RSI from different unofficial media sources and how to accurately geographically map this information for different events in EBS.
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