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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.9
- 수록면
- 209 - 215 (7page)
- DOI
- https://doi.org/10.14400/JDC.2021.19.9.209
이용수
초록· 키워드
오류제보하기
Data quality management is an important issue these days. Improve data quality by providing consistent metadata. This study presents algorithms that facilitate standard word dictionary management for consistent metadata management. Algorithms are presented to automate synonyms management of database metadata through web dictionary crawling. It also improves the accuracy of the data by resolving homonym distinction issues that may arise during the web dictionary crawling process. The algorithm proposed in this study increases the reliability of metadata data quality compared to the existing passive management. It can also reduce the time spent on registering and managing synonym data. Further research on the new data standardization partial automation model will need to be continued, with a detailed understanding of some of the automatable tasks in future data standardization activities.
목차
등록된 정보가 없습니다.
참고문헌 (15)
참고문헌 신청
Janssen, M / 2012 / Benefits, adoption barriers and myths of open data and open government / Information systems management 29(4):258~268
Pitt, M. A / 2013 / What should be the data sharing policy of cognitive science? / Topics in Cognitive Science 5(1):214~221
Birney, E / 2009 / Prepublication data sharing / Nature 461(7261):168~170
Saha, B / 2014 / Data quality:The other face of big data / 2014 IEEE 30th international conference on data engineering :1294~1297
SEnglish, L. P / 1999 / Improving data warehouse and business information quality: methods for reducing costs and increasing profits / John Wiley & Sons, Inc
Pitt, M. A / 2013 / What should be the data sharing policy of cognitive science? / Topics in Cognitive Science 5(1):214~221
Birney, E / 2009 / Prepublication data sharing / Nature 461(7261):168~170
Saha, B / 2014 / Data quality:The other face of big data / 2014 IEEE 30th international conference on data engineering :1294~1297
SEnglish, L. P / 1999 / Improving data warehouse and business information quality: methods for reducing costs and increasing profits / John Wiley & Sons, Inc
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