计算机技术与发展2026，Vol.36Issue(5)：7-12,6.DOI:10.20165/j.cnki.ISSN1673-629X.2025.0355
多维度相似度融合在OAEI的应用与评估
Application and Evaluation of Multidimensional Similarity Fusion Techniques on OAEI Dataset
摘要
Abstract
In view of the lack of systematic evaluation of various similarity fusion strategies in the existing ontology mapping methods,we propose a standardized evaluation framework,aiming to objectively compare the effectiveness of different fusion strategies in ontology matching.The research calculates similarity from four dimensions:semantics,strings,attributes,and instances,and integrates the similarity matrix by adopting seven fusion strategies including maximum value,average value,Sigmoid,Softmax,principal component analysis,and efficient adaptive weights.The matching generation uniformly adopts the stable marriage algorithm to ensure the stability and comparability of the pairing results.The experiment is based on the benchmark dataset of OAEI and is tested in four scenarios:complete structure,missing attributes,missing instances,and double missing,with the F1 value as the core evaluation index.The results show that only in the specific situation where the ontology lacks instance data,the Sigmoid function method exhibits relatively better adaptability.In most other scenarios,the efficient adaptive weighting method significantly outperforms other fusion strategies in terms of accuracy and ro-bustness,providing quantifiable empirical evidence for the selection and optimization of similarity fusion strategies in ontology mapping.关键词
本体映射/相似度融合策略/稳定婚姻算法/OAEI/高效自适应权重Key words
ontology mapping/similarity fusion strategy/stable marriage algorithm/OAEI/efficient adaptive weighting分类
信息技术与安全科学引用本文复制引用
贺霞,孙伟,曹姗姗,孔繁涛..多维度相似度融合在OAEI的应用与评估[J].计算机技术与发展,2026,36(5):7-12,6.基金项目
国家重点研发计划资助(2024YFD2000305) （2024YFD2000305）
中国农业科学院农业信息研究所基本科研业务费专项资金(JBYW-AⅡ-2024-11) （JBYW-AⅡ-2024-11）
