Abstract
The public security bureau masters vast amounts of valuable data. Since the public security bureau faces various types of data and a large number of early warning and judgment tasks, the processing of these data has become a major challenge, which concerns data consistence, data fusion, data association, etc. In this paper, towards the intelligent hotel management of the public security bureau, we propose a knowledge enabled data management method. We build a domain knowledge graph to improve the efficiency of hotel-relevant data management for the public security department. By constructing the domain knowledge graph, the early warning and judgment tasks can be solved based on knowledge reasoning. We carried out experiments to evaluate the feasibility of our proposed method. In the experiment, we use practical data from the Sucheng branch of Suqian Public Security Bureau to construct a knowledge graph. Results show that knowledge reasoning achieved good performance and exhibited the feasibility in early warning and judgment tasks of public security.
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Acknowledgement
This work was supported by the Open Fund of the Ministry Key Laboratory for Safety-Critical Software Development and Verification (XCA1816401). The authors would like to thank the policemen from Sucheng branch of Suqian Public Security Bureau for their cooperation and assistance.
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Jiang, H., Wu, H., Wang, T., Yan, X. (2022). A Knowledge Enabled Data Management Method Towards Intelligent Police Applications. In: Li, B., et al. Advanced Data Mining and Applications. ADMA 2022. Lecture Notes in Computer Science(), vol 13088. Springer, Cham. https://doi.org/10.1007/978-3-030-95408-6_13
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DOI: https://doi.org/10.1007/978-3-030-95408-6_13
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