AN INFORMATION SERVICE MODEL FOR REMOTE SENSING EMERGENCY SERVICES

Zhang, Z.; Zhao, S.; Li, X.; Cong, D.; Sun, D.

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.

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Zhang, Z. / Zhao, S. / Li, X. / et al: AN INFORMATION SERVICE MODEL FOR REMOTE SENSING EMERGENCY SERVICES. 2017. Copernicus Publications.

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