Research on the Data Integration Mechanism Based on Ontology Semantic Mapping
Zhou Ji
Abstract
Zhou Ji
Abstract
The difficulty of data integration is how to solve the problem of heterogeneous semantics. Using ontology's advantage in semantic integration,this paper designs a data integration frame based on ontology semantic mapping. According to the definition and structure of the ontology concepts,an ontology semantic mapping algorithm is given,which confirms the concepts' semantic relationship by a comparison between attribute sets,and takes the semantic information of concept names,attributes and correlative concepts into account when the similarity degree is computed. Finally,the ontology semantic mapping is determined by the mapping algorithm of the concepts' attribute sets and the concepts' mapping algorithm. Therefore the problem of semantic mapping in data integration is solved properly.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The difficulty of data integration is how to solve the problem of heterogeneous semantics. Using ontology's advantage in semantic integration,this paper designs a data integration frame based on ontology semantic mapping. According to the definition and structure of the ontology concepts,an ontology semantic mapping algorithm is given,which confirms the concepts' semantic relationship by a comparison between attribute sets,and takes the semantic information of concept names,attributes and correlative concepts into account when the similarity degree is computed. Finally,the ontology semantic mapping is determined by the mapping algorithm of the concepts' attribute sets and the concepts' mapping algorithm. Therefore the problem of semantic mapping in data integration is solved properly.
Key concepts: Computer science, Semantic integration, Ontology-based data integration, Ontology, Information retrieval, Semantic similarity, Upper ontology, Ontology alignment