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Author |
Cossentino, M.; Guastella, D.A.; Lopes, S.; Sabatucci, L. |
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Title |
Adaptive Execution of Workflows in Emergency Response |
Type |
Conference Article |
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Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
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Pages |
784-796 |
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Keywords |
Emergency Management; Disaster Response; Adaptive Workflow Execution; Standard Operating Procedure (SOP) |
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Abstract |
In emergencies, preparation is of paramount importance but it is not sufficient. As we know, emergency agencies develop extensive (text) plans to deal with accidents that could occur in their territories; their personnel train to enact such procedures, but, despite that, the unpredictable conditions that occur during an emergency require the ability to adapt the plan promptly. This paper deals with the last mile of a process we defined for enabling the adaptive execution of such emergency plans. In previous works, we discussed how to convert a free-text plan into a structured-text form, represent this plan using standard modelling notations, and extract goals that plans prescribe to be fulfilled. In this paper, we propose an approach for executing these plans with a workflow execution engine enriched by the capability to support runtime adaptation. |
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Address |
National Research Council of Italy (CNR); Machine Learning Group Université Libre de Bruxelles; National Research Council of Italy (CNR); National Research Council of Italy (CNR) |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
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Language |
English |
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Original Title |
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Series Editor |
Hosssein Baharmand |
Series Title |
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Series Volume |
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Edition |
1 |
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Track |
Applications, Tools, and Components for Crisis Management |
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Conference |
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Notes |
http://dx.doi.org/10.59297/ZOZS6664 |
Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2566 |
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