A semi-automated hybrid schema matching framework for vegetation data integration

被引：0
|
作者：
Asif-Ur-Rahman, Md [1 ]
Hossain, Bayzid Ashik [1 ]
Bewong, Michael [2 ]
Islam, Md Zahidul [1 ]
Zhao, Yanchang [3 ]
Groves, Jeremy [4 ]
Judith, Rory [4 ]
机构：
[1] School of Computing, Mathematics and Engineering, Charles Sturt University, Panorama Avenue, Bathurst,NSW 2795, Australia
[2] School of Computing, Mathematics and Engineering, Charles Sturt University, Boorooma street, Locked Bag 588, Wagga Wagga,NSW 2678, Australia
[3] CSIRO Data61, GPO Box 1700, Canberra,ACT 2601, Australia
[4] Department of Climate Change, Energy, the Environment and Water, GPO Box 3090, Canberra,ACT 2601, Australia
来源：
Expert Systems with Applications | 2023年 / 229卷
关键词：
Engineering Village;
D O I：
120405
中图分类号：
学科分类号：
摘要：
Australia - Energy - Labour-intensive - Matchings - National-policy - Policy development - Policy management - Schema mappings - Schema matching - Vegetation type
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