Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 187-191, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-187-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
12 Sep 2017
AN INFORMATION SERVICE MODEL FOR REMOTE SENSING EMERGENCY SERVICES
Z. Zhang, S. Zhao, X. Li, D. Cong, and D. Sun School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Ave, Qixia District, Nanjing 210023, China
Keywords: Remote sensing emergency, information service, semantic network, words segmentation, preference analysis, PLSA Abstract. This paper presents a method on the semantic access environment, which can solve the problem about how to identify the correct natural disaster emergency knowledge and return to the demanders. The study data is natural disaster knowledge text set. Firstly, based on the remote sensing emergency knowledge database, we utilize the sematic network to extract the key words in the input documents dataset. Then, using the semantic analysis based on words segmentation and PLSA, to establish the sematic access environment to identify the requirement of users and match the emergency knowledge in the database. Finally, the user preference model was established, which could help the system to return the corresponding information to the different users. The results indicate that semantic analysis can dispose the natural disaster knowledge effectively, which will realize diversified information service, enhance the precision of information retrieval and satisfy the requirement of users.
Conference paper (PDF, 1810 KB)


Citation: Zhang, Z., Zhao, S., Li, X., Cong, D., and Sun, D.: AN INFORMATION SERVICE MODEL FOR REMOTE SENSING EMERGENCY SERVICES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 187-191, https://doi.org/10.5194/isprs-archives-XLII-2-W7-187-2017, 2017.

BibTeX EndNote Reference Manager XML