Method of Ontology Data Automatic Generating for Semantic Interaction between IoT Resource

摘要

Big data analysis based on semantic or semantic interaction in IoT platform is essential foundation technique for composing intelligence service. Supporting these technique, it is important to need ontology, however it is a lot of times and costs compose ontology model or ontology database with standardization data or unstructured data. This paper suggests relation model based on RDF graph and RDF similar triple index model for automatic ontology composition to support high quality value judgement and interaction between various kinds of data in IoT platform, and multi-domain matrix (MDM) conversion model to provide semantic connection between resources based on those model.