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A knowledge-based framework for emergency DSS

delete2011-12-01
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PRE
AI
C
Carmen De Maio
G
Giuseppe Fenza *
M
Matteo Gaeta
L
Loia, V.
F
Francesco Orciuoli
DOI:10.1016/j.knosys.2011.06.011delete
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Abstract

Abstract

En 中文
Emergency management requires a shared vision on everything that happens nearby the emergency zone and on the availability of resources enabling to face emergency situations. Specifically, emergency managers need to be concretely supported, by knowledge-based systems, to make critical decisions. This work introduces a framework that exploits Semantic Web technologies to harmonize heterogeneous data and soft computing methods in order to handle uncertainties and to model causal inference embedded into an emergency plan. In particular, the paper presents an approach based on Fuzzy Cognitive Maps (FCMs) to support knowledge processing and resources discovery according to the emergency features. (C) 2011 Elsevier B.V. All rights reserved.
Keywords:
Emergency management
Fuzzy Cognitive Maps
Semantic Web
Semantic Web services
Decision Support System
AI Summary

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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

K
Knowledge-Based Systems
IF:
7.6
Papers:
1.2W
Citations:
4.5W

Organization

U
University of Salerno
Scholars:
1.2W
Papers: 1.1W
Citations: 1.2W