Uncertainty Data integration Based on Semantic Concept

摘要

The integration of uncertainty data sources in enterprise information is often encountered in the course of constructing a reality. Data quality, data integrity, consistency and accuracy are difficult to be guaranteed because of complex environment of the data integration and fusion. In this paper, a semantic-based approach is expressed to select solution space and improve the integration of data integration based on uncertain data quality issues. Only by addressing the conflict between data semantics, the expression of semantic information and semantic information access and other issues in order to fundamentally eliminate the information silos to achieve interoperability of information resources and shared.