Title :
Research on Case Representation and Retrieval of Coal Mine Accidents
Author_Institution :
Dept. of Comput. Sci. & Technol., China Univ. of Min. & Technol. (Beijing), Beijing, China
Abstract :
This paper applies case-based reasoning method to emergency decision-making research field, and mainly researches case representation and case retrieval method. At first, this paper analyzes character of coal mine emergency rescue work, and describes the coal mine accident case using frame representation. Then this paper adopts the secondary retrieval strategy based on clustering analysis, and designs comprehensive similarity algorithm based on two-layer construct combining structure similarity calculation and attribute similarity calculation. At last, the paper uses retrieval algorithm to show the application of case-based reasoning in emergency decision-making research field taking coal mine gas accident cases as examples.
Keywords :
accidents; case-based reasoning; coal; information retrieval; mining industry; pattern clustering; attribute similarity calculation; case representation; case retrieval method; case-based reasoning method; clustering analysis; coal mine accidents; coal mine emergency rescue work; comprehensive similarity algorithm; emergency decision-making research field; frame representation; secondary retrieval strategy; structure similarity calculation; two-layer construct; Accidents; Algorithm design and analysis; Clustering algorithms; Coal mining; Cognition; Decision making; Educational institutions; case representation; case retrieval; case-based reasoning; coal mine accident;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
DOI :
10.1109/ICCIS.2013.128