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Tsinghua Science and Technology  2021, Vol. 26 Issue (4): 558-564    doi: 10.26599/TST.2020.9010027
Natural Disasters Warning for Enterprises Through Fuzzy Keywords Search
Zewei Sun(),Hanwen Liu(),Chao Yan(),Ran An*()
Politics and Public Administration College, Qufu Normal University, Rizhao 276826, China.
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
School of Information Science and Engineering, Qufu Normal University, Rizhao 276826, China.
Foreign Languages College, Weifang University, Weifang 261000, China.
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With the ever-increasing number of natural disasters warning documents in document databases, the document database is becoming an economic and efficient way for enterprise staffs to learn and understand the contents of the natural disasters warning through searching for necessary text documents. Generally, the document database can recommend a mass of documents to the enterprise staffs through analyzing the enterprise staff’s precisely typed keywords. In fact, these recommended documents place a heavy burden on the enterprise staffs to learn and select as the enterprise staffs have little background knowledge about the contents of the natural disasters warning. Thus, the enterprise staffs fail to retrieve and select appropriate documents to achieve their desired goals. Considering the above drawbacks, in this paper, we propose a fuzzy keywords-driven Natural Disasters Warning Documents retrieval approach (named NDWDkeyword). Through the text description mining of documents and the fuzzy keywords searching technology, the retrieval approach can precisely capture the enterprise staffs’ target requirements and then return necessary documents to the enterprise staffs. Finally, a case study is run to explain our retrieval approach step by step and demonstrate the effectiveness and feasibility of our proposal.

Key wordsNatural Disasters Warning Documents (NDWD)      fuzzy keywords search      text description mining     
Received: 10 July 2020      Published: 12 January 2021
Corresponding Authors: Ran An     E-mail:;;;
About author: Zewei Sun received the BS degree from Qufu Normal University, China in 2017. He is now a postgraduate student at Qufu Normal University, China. His research interests include government information security governance and government public crisis management.|Hanwen Liu received the MS degree from School of Information Science and Engineering, Qufu Normal University, China in 2020. He is now a doctoral student at the School of Computer Science and Engineering, Nanjing University of Science and Technology, China. His major is cyberspace security. His research interests include recommender systems, link prediction, and big data.|Chao Yan received the MS degree from Insititute of Computing Technology, Chinese Academy of Sciences, China in 2006. He is now a lecturer at the School of Information Science and Engineering, Qufu Normal University, China. His research interests include recommender systems and services computing.|Ran An received the BS degree from Shandong Normal University in 2002 and the MS degree from Liaocheng University, China in 2013. She is now a lecturer with the Foreign Languages College, Weifang University, China. Her research interests include linguistics and English teaching.
Cite this article:

Zewei Sun,Hanwen Liu,Chao Yan,Ran An. Natural Disasters Warning for Enterprises Through Fuzzy Keywords Search. Tsinghua Science and Technology, 2021, 26(4): 558-564.

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Fig. 1 An enterprise staff’s keywords query.
Fig. 2 Concrete process of NDWDkeyword.
Fig. 3 Enterprise staff’s query inputs.
Fig. 4 Natural disasters warning document d𝟏.
Fig. 5 Natural disasters warning document d𝟐.
Fig. 6 Natural disasters warning document d𝟑.
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