A Novel Ontology Construction and Reasoning Approach Based on the Case Investigation
International Journal of Data Science and Analysis
Volume 5, Issue 6, December 2019, Pages: 148-158
Received: Nov. 8, 2019;
Accepted: Dec. 11, 2019;
Published: Dec. 31, 2019
Views 547 Downloads 140
Han Zhong, College of Information Technology and Network Security, People’s Public Security University of China, Beijing, China
Hongzhou Zhang, College of Information Technology and Network Security, People’s Public Security University of China, Beijing, China
Jianqian Zhang, College of Information Technology and Network Security, People’s Public Security University of China, Beijing, China
Ziyang Yuan, College of Information Technology and Network Security, People’s Public Security University of China, Beijing, China
The big data has become a key component for intelligent systems and it is very important about data mining and cognitive reasoning in the field of criminal data analysis. Modeling of investigation knowledge is very important to realize the semantic retrieval, knowledge discovery, information push and classification for case data. Ontology modeling combined with the characteristics of the case in the investigation process, a method of ontology construction based on investigation knowledge is proposed in this paper. It builds an organization system of the investigation process at the first, which is described in stages by collecting terminology. Then the ontology of investigation knowledge is constructed. In addition, an instance is added for verification to describe the investigation process in detail. The method has a good advantage of describing the detection process quickly and integrate knowledge according to different investigation stages, formulating a standardized organization mode and providing standardized knowledge assistance in the investigation process.
A Novel Ontology Construction and Reasoning Approach Based on the Case Investigation, International Journal of Data Science and Analysis.
Vol. 5, No. 6,
2019, pp. 148-158.
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