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A Semi-automatic Approach to Reduce Uncertainty of Schema Matching

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Schema matching is a prime problem in data integration domain. Some well-known automated tools have been provided to accomplish the task of schema matching, but the results generated by these tools are often uncertain. The uncertainty is universally inherent because of the inability of schema to fully capture the semantics of the represented data. We propose the method to a semi-automatic approach to reduce the uncertainty of schema matching. Our experimental results shows that the approach is able to reduce the uncertainty and improve the precision and recall.

源语言英语
主期刊名Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016
编辑Shaozi Li, Yun Cheng, Ying Dai
出版商Institute of Electrical and Electronics Engineers Inc.
95-98
页数4
ISBN(电子版)9781509025350
DOI
出版状态已出版 - 31 10月 2016
活动3rd International Conference on Information Science and Control Engineering, ICISCE 2016 - Beijing, 中国
期限: 8 7月 201610 7月 2016

出版系列

姓名Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016

会议

会议3rd International Conference on Information Science and Control Engineering, ICISCE 2016
国家/地区中国
Beijing
时期8/07/1610/07/16

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