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A Semi-automatic Semantic Consistency-Checking Method for Learning Ontology from Relational Database
2021
Information
To tackle the issues of semantic collision and inconsistencies between ontologies and the original data model while learning ontology from relational database (RDB), a semi-automatic semantic consistency checking method based on graph intermediate representation and model checking is presented. Initially, the W-Graph, as an intermediate model between databases and ontologies, was utilized to formalize the semantic correspondences between databases and ontologies, which were then transformed
doi:10.3390/info12050188
doaj:f569f6902547442789f5d29c9da94ab3
fatcat:aft6b7hyafhddosj4zgv4xvtfu