Research on Construction Method of Semantic Fusion Model Based on Knowledge Map
Knowledge map has good indicator description performance and interpretation ability.To effectively analyze the business full life cycle data of the digital grid and form a new knowledge-oriented grid operation and maintenance management mode,the research on semantic fusion model construction method based on knowledge map is carried out.Firstly,a digital model of the grid based on the Internet of Things is constructed to summarize the information of the digital grid.Secondly,for the digital grid,Protégé software is used to construct an ontology of the digital grid through a seven-step approach.Finally,based on the ontology,a top-down approach is used to generate a knowledge map.Based on the above modeling method,a set of semantic extraction framework is designed by combining the knowledge map with pattern recognition.Based on the atomic concept detection ontology extracted from the digital grid model information(image,sound,text,etc.),higher-level composite semantic features are inferred.Based on the acquired semantic features,combined with knowledge map,pilot the semantic fusion of digital grid information to provide a practical reference to promote the construction of a unified model.
Digital gridKnowledge mapSemantic fusionInformation ontologySemantic extractionInternet of Things
万方数据
维普
