Enhancing context sensitivity of geo web resources discovery by means of fuzzy cognitive maps

Authors:
Carmen De Maio;Giuseppe Fenza;Matteo Gaeta;Vincenzo Loia;Francesco Orciuoli
Affiliations:
Department of Mathematics and Informatics & Consorzio Ricerca Sistemi ad Agenti, University of Salerno, Fisciano, SA, Italy;Department of Mathematics and Informatics & Consorzio Ricerca Sistemi ad Agenti, University of Salerno, Fisciano, SA, Italy;Department of Information Engineering and Applied Mathematics & Centro di Ricerca in Matematica Pura ed Applicata, University of Salerno, Fisciano, SA, Italy;Department of Mathematics and Informatics & Consorzio Ricerca Sistemi ad Agenti, University of Salerno, Fisciano, SA, Italy;Department of Information Engineering and Applied Mathematics & Centro di Ricerca in Matematica Pura ed Applicata, University of Salerno, Fisciano, SA, Italy
Venue:
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
Year:
2010

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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.