Volume 7 Number 1 (Jan. 2012)
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JSW 2012 Vol.7(1): 41-48 ISSN: 1796-217X
doi: 10.4304/jsw.7.1.41-48

A Method of Emergency Management based on Knowledge Element Theory

Kaiji Liao and Huihui Xiong, Donghai Ye, Chunyang Zhang
School of Business Administration, South China University of Technology Guangzhou, China

Abstract—According to the current situation in emergency management of the low utilization and slow search for emergency document knowledge result to the efficiency in making decisions. This paper aims to solve the problem of difficult in searching needed knowledge in emergency management. From the perspective of knowledge system engineering, this paper conducts an in-depth study on knowledge-mined model of emergency documents and offers an alternative for decision-makers to locate and use emergency document knowledge more quickly and efficiently by emergency document knowledge modeling based on knowledge element. This modeling process includes the analysis of physical and logical structure, the navigation link based on knowledge element and the knowledge reasoning and retrieval. The physical analysis aims to extract the metadata and structure the documents; the logical analysis intends to classify the knowledge element into three types, namely the event-based knowledge element, the subject-based knowledge element, and the task-based knowledge element; and the navigation link targets at establishing the link between the knowledge and the structured document. At last, we propose a prototype of emergency knowledge decision supporting system for verifying the validity of its application, of which the results indicate that the modeling approach is both practical and effective.

Index Terms—Emergency management; emergency decision making; structured document; knowledge element.

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Cite:Kaiji Liao and Huihui Xiong, Donghai Ye, Chunyang Zhang, "A Method of Emergency Management based on Knowledge Element Theory," Journal of Software vol. 7, no.1, pp. 41-48, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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