TY - GEN
T1 - Actionable Collaborative Common Operational Picture in Crisis Situation
T2 - 20th IFIP Working Conference on Virtual Enterprises, PRO-VE 2019
AU - Coche, Julien
AU - Montarnal, Aurélie
AU - Tapia, Andrea
AU - Benaben, Frederick
N1 - Publisher Copyright:
© IFIP International Federation for Information Processing 2019.
PY - 2019
Y1 - 2019
N2 - Previous works in social media processing during crisis management highlight a paradox: Citizens are extensively sharing data from the field of the crisis, while decision-makers are looking for information about the emerging risks they need to address. Several tools already exist to help taking advantage of this new important source of data. However, few made their way to decision-makers, mainly because they remain resource-consuming. That is why the question of a tool, able to process social media in near-real time, to deliver actionable information from the field is still pending. Based on a state of the art of the Natural Language Processing tools and systems dedicated to the use of social media data to improve the situational awareness of the decision-makers, this paper aims to describe a way to provide them with a first comprehensive system which asset is to completely address the challenge, from the collection of the data to their interpretation and understanding and finally offer situational models. In this sense, the paper focuses on the thorough detail of the business and consequent technical challenges that are raised, and a work in progress proposal to address them in a comprehensive manner.
AB - Previous works in social media processing during crisis management highlight a paradox: Citizens are extensively sharing data from the field of the crisis, while decision-makers are looking for information about the emerging risks they need to address. Several tools already exist to help taking advantage of this new important source of data. However, few made their way to decision-makers, mainly because they remain resource-consuming. That is why the question of a tool, able to process social media in near-real time, to deliver actionable information from the field is still pending. Based on a state of the art of the Natural Language Processing tools and systems dedicated to the use of social media data to improve the situational awareness of the decision-makers, this paper aims to describe a way to provide them with a first comprehensive system which asset is to completely address the challenge, from the collection of the data to their interpretation and understanding and finally offer situational models. In this sense, the paper focuses on the thorough detail of the business and consequent technical challenges that are raised, and a work in progress proposal to address them in a comprehensive manner.
UR - http://www.scopus.com/inward/record.url?scp=85072965178&partnerID=8YFLogxK
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U2 - 10.1007/978-3-030-28464-0_14
DO - 10.1007/978-3-030-28464-0_14
M3 - Conference contribution
AN - SCOPUS:85072965178
SN - 9783030284633
T3 - IFIP Advances in Information and Communication Technology
SP - 151
EP - 162
BT - Collaborative Networks and Digital Transformation - 20th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2019, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Afsarmanesh, Hamideh
A2 - Antonelli, Dario
PB - Springer New York LLC
Y2 - 23 September 2019 through 25 September 2019
ER -