In situations where emergencies have to be handled, it's vital to provide a vision, shared by all involved actors, on everything happens near the geographic area interested by the emergency and on the availability of resources like hospitals, ambulances, fire fighters, volunteers and so on. This work introduces an approach for the smart discovery of geo-located resources (i.e. people, services, etc.) with respect to specific emergency requirements. The proposed approach is strongly based on the semantic modeling of geo-spatial data, geo-localized services, people's skills and geo-positions and on a novel method exploiting Fuzzy Cognitive Maps (FCMs) in order to suitably elicit resource plans according to the occurred event. Semantic modeling of resources highlights value added in term of support to human resources managers. In the next future the discovery performance will be tested in real conditions. © 2010 Springer-Verlag.
Enhancing context sensitivity of geo web resources discovery by means of fuzzy cognitive maps
DE MAIO, CARMEN;FENZA, GIUSEPPE;LOIA, Vincenzo;GAETA, Matteo;ORCIUOLI, Francesco
2010-01-01
Abstract
In situations where emergencies have to be handled, it's vital to provide a vision, shared by all involved actors, on everything happens near the geographic area interested by the emergency and on the availability of resources like hospitals, ambulances, fire fighters, volunteers and so on. This work introduces an approach for the smart discovery of geo-located resources (i.e. people, services, etc.) with respect to specific emergency requirements. The proposed approach is strongly based on the semantic modeling of geo-spatial data, geo-localized services, people's skills and geo-positions and on a novel method exploiting Fuzzy Cognitive Maps (FCMs) in order to suitably elicit resource plans according to the occurred event. Semantic modeling of resources highlights value added in term of support to human resources managers. In the next future the discovery performance will be tested in real conditions. © 2010 Springer-Verlag.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
