CAJ | 학술논문

针对第一次全国水利普查数据融合存在的问题，提出自适应编辑距离相似性度量，通过调整编辑操作权重及启发式学习权重等措施，对传统的编辑距离进行改进，提高相似性搜索的准确性，并给出基于编辑距离的水利普查数据融合的方法和流程，算法的有效性在第一次全国水利普查数据处理中得到验证。
침대제일차전국수리보사수거융합존재적문제，제출자괄응편집거리상사성도량，통과조정편집조작권중급계발식학습권중등조시，대전통적편집거리진행개진，제고상사성수색적준학성，병급출기우편집거리적수리보사수거융합적방법화류정，산법적유효성재제일차전국수리보사수거처리중득도험증。
Aiming at the existing problems of data fusion in the first National Water Resources Census, adaptive edit distance similarity measure is proposed in this paper. The traditional edit distance is improved by adjusting the weight of editing operations and heuristic learning weight to improve the accuracy of similarity search. The data fusion approach and process based on edit distance is proposed. The approach is validated by the data processing of water resources census.