可信的第三方模糊本体映射框架及其实现

摘要

通过研究经典的本体构成和映射方法,针对现阶段算法的不足,提出可信的第三方模糊本体映射框架(trusted third party fuzzy ontology mapping framework,T2PFOMF).加入模糊关系集合,提出五维本体模型,使本体具有更强的语义表达和推理能力;在本体映射过程中,进行特性混淆,使第三方可以在不知道信息具体细节的基础上完成本体映射,保证数据的隐私性,为各领域的本体映射提供安全统一的平台.实验结果表明,该框架拥有推理功能,虽然运算速度上会有少量额外开销,但在防止信息泄露方面却起到了重要作用,具有一定实用价值.%By studying classical ontology composition and ontology mapping method, for the lack of present algorithm, a trusted third party fuzzy ontology mapping framework (T2PFOMF) was proposed.A set of fuzzy relations was added, a five-dimensio-nal model of ontology was put forward, making the ontology have more semantic and reasoning ability.Characteristic confusion was added in ontology mapping process, so that third parties completed ontology mapping without knowing the specific details of information, guaranteeing the privacy of the data.A unified security platform for ontology mappings of the various fields was provided.Experimental results show that this framework has inference ability, there is a little additional consumption on computing speed, but in terms of preventing information leakage, it plays an important role, so it has some practical value.