Approach of semantic mapping of heterogeneous data resources based on medium model
Zhonglin Liu · Computer Engineering and Applications Journal · 2013
The semantic mapping of heterogeneous data resources is one of the key problems in the research on data integration and sharing in the era of big data. This paper does research on the problem of semantic mapping between heterogeneous data resources and domain ontologies. It puts forward the algorithm of mapping based on medium model, including the approach of model transformation, the mapping rule, the mapping strategy, the expression of mapping results and so on. The system shields the heterogeneous data resources. It also guarantees the transparency for the user to access heterogeneous data resources, and the accuracy for the user to interpret them. It provides a flexible, universal and extensible mechanism for semantic integration, which will be integrated into the application of semantic searching.