An Extension of ToscanaJ for FCA-based Data Analysis over Triple Stores

CUBIST Workshop 2011.

工业技术;计算机科学

Frithjof Dau ; Bars Sertkaya

Others  :  http://ceur-ws.org/Vol-753/paper02_cubistws11.pdf
PID  :  41007

来源: CEUR

【 摘 要 】

Classical Business Intelligence (BI) solutions provide dier-ent means like OLAP, data mining or case based reasoning to explore structured data. The data is usually stored in dedicated repositories like data warehouses and then explored by standard BI means, which are usu- ally based on mathematical statistics and provide a quantitative analysis of the data. In this paper, we complement this approach in two respects. First of all, FCA, as a qualitative approach for data analysis, is used for analyzing the data. Second, the analyzed data is not stored in a data warehouse, but in a triple store instead. To make this possible, the ex- isting FCA-tool ToscanaJ has been extended in order to act on triple stores. The approach in this paper is exemplied on a dataset of docu-