An Ontology-Based Data Exploration Tool for Key Performance Indicators

نویسندگان

  • Claudia Diamantini
  • Domenico Potena
  • Emanuele Storti
  • Haotian Zhang
چکیده

This paper describes the main functionalities of an ontologybased data explorer for Key Performance Indicators (KPI), aimed to support users in the extraction of KPI values from a shared repository. Data produced by partners of a Virtual Enterprise are semantically annotated through a domain ontology in which KPIs are described together with their mathematical formulas. Based on this model and on reasoning capabilities, the tool provides functionalities for dynamic aggregation of data and computation of KPI values through the formula. In this way, besides the usual drill-down, a novel mode of data exploration is enabled, based on the expansion of a KPI into its components.

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تاریخ انتشار 2014