基于网络表示学习的本体语义挖掘与功能语义检索方法

Ontology semantic mining and functional semantic retrieval method based on network representation learning

为充分利用本体概念之间隐含的语义关系,以支持产品功能创新设计过程,提出了一种基于网络表示学习的本体语义挖掘与功能语义检索方法。首先,基于本体中确定的语义关系,利用网络表示学习挖掘隐含的语义关系;然后,基于语义类比的向量运算,建立本体概念之间潜在的功能语义关系,并对功能语义向量进行表达;最后,通过功能语义向量的相似度计算实现由用户功能需求向跨领域功能性设计资料的扩展,并建立相应的设计资料检索方法和流程。产品设计示例表明,所提出的本体语义挖掘与功能语义检索方法有利于从产品功能角度获取跨领域设计知识,可为设计人员提供更多的灵感。

In order to make full use of the implicit semantic relationship between ontology concepts to support the product function innovation design process, an ontology semantic mining and functional semantic retrieval method based on the network representation learning was proposed. Firstly, based on the determinate semantic relationships in the ontology, the network representation learning was used to mine the implicit semantic relationships;then, based on the vector operation of semantic analogy, the potential functional semantic relationship between ontology concepts was established, and the functional semantic vector was expressed;finally, through the similarity calculation of the functional semantic vector, the expansion from functional requirements of users to cross-domain functional design data was realized, and the corresponding design data retrieval method and its process were established. The product design example shows that the proposed ontology semantic mining and functional semantic retrieval method is conducive to obtain cross-domain design knowledge from the perspective of product function, which can provide more inspiration for designers.