Information modeling and relational databases: from conceptual analysis to logical design
Information modeling and relational databases: from conceptual analysis to logical design
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Business Semantics Management Supports Government Innovation Information Portal
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
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OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems
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For any information system the quality of the underlying data is crucial for the quality of the information offered to a user. Quality control when uploading data into a portal is essential. In this paper we describe a practical case of how existing business rules are re-engineered into semantically grounded business rules that validate data before being uploaded into a government innovation information portal. Some practical experiences and lessons learnt are presented. The case has shown that not only a substantial gain in engineering time can been achieved but also that the support of related stakeholders is more easily obtainable.