Systematic review of ontology application in data quality
This study presents a systematic review in investigating the adoption of ontology in managing data quality. We study a dataset of 333 paper from journals, conference proceedings and magazine to explore the motivations and limitations in adopting ontology approach to achieve high quality data. Based...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/77198/ http://psasir.upm.edu.my/id/eprint/77198/1/saes2015-52.pdf |
| _version_ | 1848858182089179136 |
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| author | Mohd Jaya, Mohd Izham Sidi, Fatimah Affendey, Lilly Suriani Ishak, Iskandar |
| author_facet | Mohd Jaya, Mohd Izham Sidi, Fatimah Affendey, Lilly Suriani Ishak, Iskandar |
| author_sort | Mohd Jaya, Mohd Izham |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This study presents a systematic review in investigating the adoption of ontology in managing data quality. We study a dataset of 333 paper from journals, conference proceedings and magazine 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 being 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. |
| first_indexed | 2025-11-15T12:09:22Z |
| format | Conference or Workshop Item |
| id | upm-77198 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:09:22Z |
| publishDate | 2015 |
| publisher | Faculty of Computer Science and Information Technology, Universiti Putra Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-771982020-03-04T06:58:01Z http://psasir.upm.edu.my/id/eprint/77198/ Systematic review of ontology application in data quality Mohd Jaya, Mohd Izham Sidi, Fatimah Affendey, Lilly Suriani Ishak, Iskandar This study presents a systematic review in investigating the adoption of ontology in managing data quality. We study a dataset of 333 paper from journals, conference proceedings and magazine 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 being 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. Faculty of Computer Science and Information Technology, Universiti Putra Malaysia 2015 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/77198/1/saes2015-52.pdf Mohd Jaya, Mohd Izham and Sidi, Fatimah and Affendey, Lilly Suriani and Ishak, Iskandar (2015) Systematic review of ontology application in data quality. In: 3rd International Symposium on Applied Engineering and Sciences (SAES2015), 23-24 Nov. 2015, Universiti Putra Malaysia. (pp. 293-296). |
| spellingShingle | Mohd Jaya, Mohd Izham Sidi, Fatimah Affendey, Lilly Suriani Ishak, Iskandar Systematic review of ontology application in data quality |
| title | Systematic review of ontology application in data quality |
| title_full | Systematic review of ontology application in data quality |
| title_fullStr | Systematic review of ontology application in data quality |
| title_full_unstemmed | Systematic review of ontology application in data quality |
| title_short | Systematic review of ontology application in data quality |
| title_sort | systematic review of ontology application in data quality |
| url | http://psasir.upm.edu.my/id/eprint/77198/ http://psasir.upm.edu.my/id/eprint/77198/1/saes2015-52.pdf |