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A Study of the Disaster Sign Data Analysis Technologies Based on Ontology  

Lee, Changyeol (동의대학교 컴퓨터공학과)
Kim, Taehwan (용인대학교 경호학과)
Publication Information
Journal of the Society of Disaster Information / v.7, no.3, 2011 , pp. 220-228 More about this Journal
Abstract
Disaster sign data is confirmed data by the experts to the collected data from web and users. In this paper, we focused to make the risk scores to the data based on ontology technology. To analyse the data, first of all, we defined the ontological structure for 4 kinds of disaster types which consists of the bridges, workplaces, buildings, and walls. Base on the ontologies, collected the accidents examples, and then extract the risk rules from the examples. The rules are adjusted with frequencies and weights, and managed to the ontology DB. The rules apply to the disaster sign data, and then calculates the risk scores. It plays role of the index to the risk rates. The disaster sign data management system was implemented and the rules were verified to the system. Because the quality of the risk scores to the disaster sign data depends on the data of the accidents examples's qualities, we assure that the system's performance will be monotonic increasing following up the data upgrades. Continuously, data management is needed. Also the quality control of the rules are needed.
Keywords
Disaster; Disaster Sign Data; Ontology; Risk Rates; Accident Rules;
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