RuleOMS: A rule-based online management system
Islam, Mohammad Badiul & Governatori, Guido (2015) RuleOMS: A rule-based online management system. In Sichelman, Ted & Atkinson, Katie (Eds.) Proceedings of the 15th International Conference on Artificial Intelligence and Law, ACM, San Diego, CA, pp. 187-191.
We propose an architecture for a rule-based online management systems (RuleOMS). Typically, many domain areas face the problem that stakeholders maintain databases of their business core information and they have to take decisions or create reports according to guidelines, policies or regulations. To address this issue we propose the integration of databases, in particular relational databases, with a logic reasoner and rule engine. We argue that defeasible logic is an appropriate formalism to model rules, in particular when the rules are meant to model regulations. The resulting RuleOMS provides an efficient and flexible solution to the problem at hand using defeasible inference. A case study of an online child care management system is used to illustrate the proposed architecture.
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|Item Type:||Conference Paper|
|Keywords:||Online Management System, Rule-based, Defeasible Logic, Child Care, Compliance, Regulations, Reasoning|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)|
|Divisions:||Current > Institutes > Institute for Future Environments|
|Copyright Owner:||Copyright 2015 ACM|
|Deposited On:||09 Jul 2015 00:30|
|Last Modified:||15 Jul 2015 00:21|
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