Towards improving data quality using ontology application approach

• Main Authors: Mohd Jaya, Mohd Izham, Sidi, Fatimah, Affendey, Lilly Suriani, Ishak, Iskandar, A. Jabar, Marzanah
• Format: Conference or Workshop Item
• Language: English
• Published: Faculty of Computer Science and Information Technology, Universiti Putra Malaysia 2015
• Online Access: http://psasir.upm.edu.my/id/eprint/77161/1/saes2015-26.pdf; http://psasir.upm.edu.my/id/eprint/77161/
• Institution: Universiti Putra Malaysia

This study presents a systematic review in investigating the adoption of ontology in managing data quality. We studied a dataset of 333 papers from journals, conference proceedings and magazines to explore the motivations and limitations in adopting ontology approach to achieve high quality data. Based on the selection criteria, we then select 9 relevant papers and discussed further in this paper. From this study, we found that ontology usage eliminated barriers of domain expert involvement in managing data quality, the heterogeneity of data source and data source schema, and also the size of database.