Research on emergency decision-making information mining based on existing “obstacle” between geographic entities in spatial topological relations

Emergency decision-making mining must consider “obstacle” between the geographic entities in spatial topological relations and their intrinsic relationship, or the integrity and accuracy of the mining results would not be guaranteed. Based on the deep research above, the mechanism and law of geospatial information was explored, the traditional spatial topological relations were expanded. The number of topological relation between point, line and region was 11. By constructing the qualitative expression (ϑ: DIR9: DIR4), the topological relations were expressed qualitatively, and the spatial reasoning was realized. Meanwhile, the algorithm of decision-making information mining was studied. Combining with the abstract algebra theory, the mining algorithm was constructed. Based on the expanded topological relations above, the traditional information mining algorithms were improved. Through the analysis of emergency response decision-making information intent, this paper expands the theory of traditional information extraction methods to solve the theoretical and technical problems, which provides a support for the scientific and reasonable emergency decision-making, etc. This case study demonstrates the feasibility and effectiveness of the decision-making information mined from this study.