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基于MFI4OR标准的本体融合模型研究 被引量:1

Research on Ontology Fusion Model Based on MFI4OR Standard
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摘要 本体融合已经成为学科领域知识图谱的重建和知识共享的重要途径,为解决本体融合领域缺乏标准融合框架问题,提出一种基于国际标准MFI4OR的本体融合模型。该模型提供一个标准的本体信息划分标准,即本体-本体构件-本体原子构件,实现对本体信息的管理和映射。在融合计算过程中,选择编辑距离算法并引入外部资源WordNet词典进行相似度计算。最后,以省级基金项目中的学习者模型构建需求为应用背景,将FOAF(Friend-Of-A-Friend)本体和RELATIONSHIP本体进行融合试验。结果表明,该标准化融合模型能实现通用本体融合。 Ontology fusion has become an important way to reconstruct knowledge map and share knowledge in the subject field.In order to solve the problem of lack of standard fusion framework in ontology fusion field,we propose an ontology fusion model based on international standard MFI4 OR.This model provides a standard ontology information partition standard,namely ontology-ontology component-ontology atomic component,and realizes the management and mapping of ontology information.In the process of fusion calculation,we choose editing distance algorithm and introduces external resources WordNet dictionary to calculate similarity.Finally,based on the application background of learner model construction requirements in provincial fund projects,the FOAF(Friend-Of-A-Friend)and RELATIONSHIP ontologies are fused.The results show that the standardized fusion model can achieve fusion and has good recall rate and accuracy.
作者 袁满 杨静 陈萍 YUAN Man;YANG Jing;CHEN Ping(School of Computer and Information Technology,Daqing 163318,China;School of Economics and Management,Northeast Petroleum University,Daqing 163318,China)
出处 《吉林大学学报(信息科学版)》 CAS 2021年第5期491-497,F0002,共8页 Journal of Jilin University(Information Science Edition)
基金 黑龙江省高等教育教学改革基金资助项目(SJGY20200107)。
关键词 本体融合 MFI4OR标准 编辑距离 WordNet词典 ontology fusion MFI4OR standard editing distance WordNet dictionary
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