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.

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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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ID Code: 85194
Item Type: Conference Paper
Refereed: Yes
Keywords: Online Management System, Rule-based, Defeasible Logic, Child Care, Compliance, Regulations, Reasoning
DOI: 10.1145/2746090.2746120
ISBN: 9781450335225
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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