Rule-based business policies specification, reasoning and integration for business process model extraction
|dc.contributor.author||Janjua, Naeem Khalid|
|dc.contributor.author||Hussain, Farookh Khadeer|
|dc.contributor.editor||Fatos Xhafa and Leonard Barolli|
|dc.identifier.citation||Janjua, Naeem Khalid and Hussain, Farookh Khadeer. 2011. Rule-based business policies representation, reasoning and integration in an enterprise, in 6th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA), Oct 26-28 2011. Barcelona: IEEE.|
Business policies are pervasive in web-based information systems and the introduction of the semantic web has opened new fertile horizons for their representation and automated processing. However, a number of challenges have also emerged. One of those challenges is the contradictory information detection and resolution among policies. This papers reports on a semantic, knowledge-based approach for business policies representation, conflict detection and argumentation based resolution, leading to a justifiable conclusion. We also propose an architecture for enterprise-wide information system to integrate business policies about a given subject spanning across different information systems in an enterprise for decision making purposes.
|dc.publisher||Conference Publishing Service|
|dc.subject||Web based information systems|
|dc.subject||rule based reasoning|
|dc.title||Rule-based business policies specification, reasoning and integration for business process model extraction|
|dcterms.source.title||Proceedings of the 6th international conference on broadband and wireless computing, communication and applications (BWCCA 2011)|
|dcterms.source.series||Proceedings of the 6th international conference on broadband and wireless computing, communication and applications (BWCCA 2011)|
|dcterms.source.conference||6th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA 2011)|
|dcterms.source.conference-start-date||Oct 26 2011|
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|curtin.department||Digital Ecosystems and Business Intelligence Institute (DEBII)|