An Ontology-Based Data Exploration Tool for Key Performance Indicators

被引：0
|
作者：
Diamantini, Claudia [1 ]
Potena, Domenico [1 ]
Storti, Emanuele [1 ]
Zhang, Haotian [1 ]
机构：
[1] Univ Politecn Marche, Dipartimento Ingn Informaz, I-60131 Ancona, Italy
来源：
ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2014 CONFERENCES | 2014年 / 8841卷
关键词：
INTEGRATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes the main functionalities of an ontology-based 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.
引用
收藏
页码：727 / 744
页数：18
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