Title :
A Jess knowledge-based data quality analyzing framework
Author :
Jia-Hong, Peng ; Xi-Lin, Yu
Author_Institution :
College of Information Science and Technology Hunan Agricultural University Changsha, China
Abstract :
Successful data quality analyzing depends on the business rules. We present a knowledge-based framework for data quality analyzing, which carries out the representation of business knowledge by production rules and performs Analysis and cleansing operations automatically by Jess engine driver; The framework provides a systematic approach for domain knowledge representation, supports the complete life-cycle of data quality and is extensible.
Keywords :
Business; Cleaning; Data mining; Educational institutions; Information science; Knowledge based systems; Logic gates; Data Quality; Data Warehouse; Knowledge Base; OSG;
Conference_Titel :
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-8691-5
DOI :
10.1109/ICEBEG.2011.5882757