Title :
Ontology Modeling of Emergency Plan Systems
Author :
Wenjun, Wang ; Cunxiang, Dong ; Peng, Yang
Author_Institution :
Comput. Sci. & Technol. Sch., Tianjin Univ., Tianjin, China
Abstract :
Emergency plan systems, which are organized sets that consist of interrelated emergency plans, provide guides to enact and revise emergency plans. Emergency plans are the crucial foundations to deal with emergency incidents. However, there are some problems on the management of emergency plan systems. The knowledge description of emergency plan systems does not have unambiguous and uniform expressions and result in the semantics clash. The different emergency plan systems can not communicate, share and reuse each other. In order to solve these problems emergency plan system ontology (EPSOnto) is designed by using SUMO as upper ontology in this paper. EPSOnto can provide the share knowledge in semantics to achieve the cooperation and reuse between people and the different systems. In EPSOnto we describe the concepts, relations, functions, axioms and instances about Emergency plan systems respectively in five-tuple in detail. At last, we make an experiment with an emergency plan system to validate EPSOnto.
Keywords :
emergency services; ontologies (artificial intelligence); SUMO; emergency incidents; emergency plan system ontology; semantics clash; Computer science; Disaster management; Formal specifications; Fuzzy systems; Knowledge based systems; Management information systems; NIST; Ontologies; Seminars; Technology management; EPSOnto; SUMO; emergency plan; emergency plan systems; ontology;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.626