Abstract
This paper describes the design of a business rules engine management system based on Drools. Through the visual encapsulation of Drools, users can use a way similar to natural language to describe the originally complex, complicated and professional rules, and through the abstract configuration of business objects and parameter objects, the system can meet the business requirements of different business scenarios. In the whole life cycle management of rules, parameter table and parameter data, the system supports users to control the change of data state through three-level approval mode, so that users can conveniently carry out the configuration and management of various data in the system. At the same time, the system will record each key operation log, in order to facilitate enterprises and institutions to carry out system audit.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chen, J., Wu, H., Li, S., Liao, A., He, C., Peng, S.: Temporal logic and operation relations based knowledge representation for land cover change web services. ISPRS J. Photogram. Remote Sens. 83, 140–150 (2013)
Yan, L., Pan, Z., Liang, B., et al.: Analysis of system development method based on business rule management technology. J. Univ. Inf. Eng. 7(2), 141–143, 171 (2006)
Tang, D.D.: Design and implementation of distributed business rules engine based on Drools. Dalian University of Technology, p. 63 (2016)
Zhang, H., Yang, X.: Rule Engine Research and Implementation in Financial System (2009)
Yu, J., Gu, Z.: Design and implementation of personnel training information management system based on business rules engine. Comput. Sci. S2, 428–431 (2018)
Yu, J.: Application research of management system based on business rules engine. J. Hangzhou Normal Univ. (Nat. Sci.) 05, 392–395 (2010)
Varley, L.P., Denieffe, S., O’Gorman, C.: A systematic review of noninvasive and invasive sialorrhoea management. J. Clin. Nurs. 28, 4190–4206 (2019). https://doi.org/10.1111/jocn.15009
Zhao, X., Wang, H.: Application of Drools rules engine in medical data compliance system. Softw. Tribune 07, 163–166 (2019)
Lan, W., Xing, Z., Qiang, X.: A Drools rules engine encapsulates the model and its implementation. J. South-Central Univ. Natl. (Nat. Sci. Ed.) 03, 95–99 (2015)
Razzaq, A., Hur, A., Masood, M., et al.: Foundation of Semantic Rule Engine to Protect Web Application Attacks (2010)
Acknowledgements
This work is supported in part by the PhD startup Foundation Project of Jilin Agricultural Science and Technology University on 2018 and the Digital Agriculture key discipline of Jilin province Foundation.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Huang, B., He, Z., Tang, Y. (2020). Application Research of Business Rules Engine Management System Based on Drools. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1146. Springer, Cham. https://doi.org/10.1007/978-3-030-43306-2_34
Download citation
DOI: https://doi.org/10.1007/978-3-030-43306-2_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-43305-5
Online ISBN: 978-3-030-43306-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)