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Title: SWIM: Framework Based on Virtual Organizations Paradigm, Ontologies, and Semantic Web Technologies for Real-Time Incident Management
Accession Number: 01137469
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: This paper proposes a new framework for the Next Generation of Incident Management Systems; using the semantic web technologies. The proposed system models the workflow of the processes forming the incident management, using semantic process modeling. It integrates incident management processes using semantic process integration methods and encapsulates their knowledge content forming a collaborative knowledge-based system that serves loosely coupled network of various processes administrators. During an incident relief process, involved parties will share their knowledge and resources forming a Virtual Incident Management Center, i.e. a Virtual Organization (VO), within which each party will focus on its core competencies while cooperating with other involved stakeholders to achieve a coherent and integrated cooperative incident management process. Negotiations between various processes administrators are performed using intelligent software agents, alleviating the coordination and synchronization burden of the massive information flow during the incident management processes. The software agents provide a decision support model based on the reasoning provided from the underlying system semantic models. Ontological engineering is used to lay the foundation of the system knowledge models. The system communication infrastructure is based on the Semantic Web technologies. The semantic web will use, in an enhanced manner, the existing web technologies as the infrastructure for the communication network required for the proposed system. Its semantic capabilities will resolve the information and data interoperability among various parties. The web services concepts introduced by the semantic web will allow the direct exploration and access of knowledge models, resources, and data repositories held by various parties.
Monograph Title: Monograph Accession #: 01120148
Report/Paper Numbers: 09-2894
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Abou-Beih, Mahmoud OsmanAbdulhai, BaherEl-Diraby, Tamer EEL-Darieby, MohamedPagination: 21p
Publication Date: 2009
Conference:
Transportation Research Board 88th Annual Meeting
Location:
Washington DC, United States Media Type: DVD
Features: Figures
(5)
; References
(21)
TRT Terms: Subject Areas: Data and Information Technology; Highways; I73: Traffic Control
Source Data: Transportation Research Board Annual Meeting 2009 Paper #09-2894
Files: BTRIS, TRIS, TRB
Created Date: Jan 30 2009 7:16PM
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