Hybrid Multidimensional Design for Heterogeneous Data Supported by Ontological Analysis: an Application Case in the Brazilian Electric System Operation
نویسندگان
چکیده
An issue in operating a national electric system is how the corporate image of an Independent System Operator (ISO) can be impacted by disturbances in the system and their related news publications from specialized press. To deal with it, a solution was developed in the context of the Brazilian Electric System National Operator (ONS): an analytical system for disturbances analysis integrating both structured and unstructured data sources. It considers both the daily news publications about the electric sector from ONS clippings website and the details of operational disturbances from the company data marts. We introduce here an adaptation of the hybrid multidimensional (MD) design method, considering heterogeneous data sources during business analysis and design phases. Most important, we illustrate how ontological analysis can enhance the semantic expressiveness of the MD modeling activity through a semi-automatic derivation process. The analytical potential is evidenced by a real scenario case study.
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