Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 137-141, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-137-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
12 Sep 2017
AMATCHMETHOD BASED ON LATENT SEMANTIC ANALYSIS FOR EARTHQUAKEHAZARD EMERGENCY PLAN
D. Sun, S. Zhao, Z. Zhang, and X. Shi School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China
Keywords: Earthquake, Plan, Latent Semantic Analysis (LSA), Keywords Extraction, Match, Vector Space Abstract. The structure of the emergency plan on earthquake is complex, and it’s difficult for decision maker to make a decision in a short time. To solve the problem, this paper presents a match method based on Latent Semantic Analysis (LSA). After the word segmentation preprocessing of emergency plan, we carry out keywords extraction according to the part-of-speech and the frequency of words. Then through LSA, we map the documents and query information to the semantic space, and calculate the correlation of documents and queries by the relation between vectors. The experiments results indicate that the LSA can improve the accuracy of emergency plan retrieval efficiently.
Conference paper (PDF, 1480 KB)


Citation: Sun, D., Zhao, S., Zhang, Z., and Shi, X.: AMATCHMETHOD BASED ON LATENT SEMANTIC ANALYSIS FOR EARTHQUAKEHAZARD EMERGENCY PLAN, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 137-141, https://doi.org/10.5194/isprs-archives-XLII-2-W7-137-2017, 2017.

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