The uncertainty mapping of ontologies based on three-dimensional combination weight vector space model

Purpose This paper applies VSM-PCR model to compute the similarity of Fault zone ontology semantics, which verified the feasibility and effectiveness of the application of VSM- PCR method in uncertainty mapping of ontologies. Design/methodology/approach We firstly define the concept of uncertainty ontology and then propose the method of ontology mapping. The proposed method fully considers the properties of ontology in measuring the similarity of concept. It expands the single vector space model of concept meaning or instance set to the "meaning, properties, instance "three-dimensional vector space model and uses membership degree or correlation to express the level of uncertainty. Findings It provides a relative better accuracy which verified the feasibility and effectiveness of VSM – PCR method in treating the uncertainty mapping of ontology. Research limitations/implications The future work will focus on exploring the similarity measure and combinational methods in every dimension. Originality/value Th...