摘要
为了实现异构模糊本体之间的知识共享和重用等语义互操作,需要为它们建立映射关系,为此提出了一种新的模糊本体映射方法 VSM-FR(vector space model based on fuzzy relation)。VSM-FR方法首先利用模糊本体中的模糊关系构建向量空间模型;然后将模糊概念表示成此向量空间模型中的向量,这样模糊概念之间的相似度就可以通过向量运算的方法来获得;最后为相似度大于给定阈值的模糊概念对建立映射关系。附带的实例也充分地证明了VSM-FR方法在处理模糊本体映射时的可行性和有效性。
In order to realize semantic interoperability between heterogeneous fuzzy ontologies, such as knowledge share and reuse, the mappings which connect them are to be created. This paper provided a new method for fuzzy ontology mapping based on vector space model, called VSM-FR. This method firstly made use of fuzzy relationships belonging to fuzzy ontologies to generate VSM. Then, it represented fuzzy concepts as vectors in the VSM. Thus, it obtained the similarities for fuzzy concept pairs by vector calculation. Finally, it created mappings for the fuzzy concept pairs whose similarities were more than a given threshold. This paper also provided a specific instance from real world to verify the feasibility and effectiveness of VSM-FR.
出处
《计算机应用研究》
CSCD
北大核心
2014年第5期1459-1462,共4页
Application Research of Computers
基金
黑龙江省教育厅科学技术研究项目(12531767)
黑龙江省自然科学基金资助项目(F030503
F201336)
齐齐哈尔大学青年教师科研启动项目(2011k-M05
2012k-M12
2012k-Z05)
关键词
模糊本体
模糊本体映射
模糊关系
向量空间模型
fuzzy ontology
fuzzy ontology mapping
fuzzy relationship
vector space model（USM）
