Yunnan Computer Technology Application Key Lab and Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China

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Abstract—This study presents an ontology-based and multi-agent system for PPHIIS assessment, an integrated information system for the health of People’s Police (PPHIIS) was investigated, and an ontology model was designed and implemented to represent the health domain knowledge combined with the agents’ cooperation, the SOsRCE-ontology model not only solved semantic problems about heterogeneous data but also enabled medical staff to extract detailed medical information more efficiently. Meanwhile, a level of abstraction at which we envisage integrated systems carrying out cooperative work by inter-operating globally across networks connecting police, hospitals and terminals was offered by the multi-agent view.

Index Terms—multi-agent, heterogeneous, shared, PPHIIS, SOsRCE-ontology.

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Cite: Xiaobao Li, Xiaoyan Liu, Xiaodong Fu, Feng Wang, "Practical Applications of Ontology-based Multi-agent Systems for PPHIIS," Journal of Software vol. 9, no. 9, pp. 2315-2321, 2014.