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| Data Governance and Domain Ontology of Regional Public Security |
Zeng Zhen1,2,3( ),Li Gang4,Mao Jin3,4,Chen Jinghao3,5 |
1Guizhou Key Laboratory of Big Data Statistical Analysis, Guizhou University of Finance and Economics, Guiyang 550000, China
2School of Information, Guizhou University of Finance and Economics, Guiyang 550000, China
3Big Data Institute, Wuhan University, Wuhan 430072, China
4Center for Studies of Information Resources, Wuhan University, Wuhan 430072, China
5School of Public Policy and Management, Guangxi University, Nanning 530004, China |
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Abstract [Objective] This paper tries to construct a data governance model and domain ontology for regional public security, aiming to improve the applications of data governance.[Methods] We constructed our model based on the theory of linked data, and used public ontology (e.g., DACT and ODRL2.2) to manage public security data assets. Then, we extended the EventKG ontology for the process logic of public security. Third, we modified the PROV ontology for the source relationship among data assets and models. Fourth, we identified the relationship between data governance and process based on concepts and organizations. Finally, we constructed the ontology for the whole process of data governance.[Results] Our domain ontology was built with six scalable and reusable public ontologies. The model’s relationship richness reached 0.773 which indicated good inter-class ties. The proposed model described the complex relations and process of data governance for public security. Based on the ontology, we created knowledge graph and applications for one prefecture-level city.[Limitations] More reseach is needed to expand our new model to cyber public security.[Conclusions] The proposed model could improve the data governance in public security research and practice.
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Received: 27 February 2020
Published: 14 October 2020
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Corresponding Authors:
Zeng Zhen
E-mail: tomisacat@live.cn
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