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

摘要

PurposenThis paper aims to apply vector space model (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.nDesign/methodology/approachnThe authors first 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 VSM of concept meaning or instance set to the meaning, properties, instance three-dimensional VSM and uses membership degree or correlation to express the level of uncertainty.nFindingsnIt provides a relatively better accuracy which verified the feasibility and effectiveness of VSM-PCR method in treating the uncertainty mapping of ontology.nResearch limitations/implicationsnThe future work will focus on exploring the similarity measure and combinational methods in every dimension.nOriginality/valuenThis paper presents an uncertain mapping method of ontology concept based on three-dimensional combination weighted VSM, namely, VSM-PCR. It expands the single VSM of concept meaning or instance set to the meaning, properties, instance three-dimensional VSM. The model uses membership degree or correlation which is used to express the degree of uncertainty; as a result, a three-dimensional VSM is obtained. The authors finally provide an example to verify the feasibility and effectiveness of VSM-PCR method in treating the uncertainty mapping of ontology.