多源异构场景下RDF-MT映射策略及验证OA

To investigate the performance of the RDF-MT-based federated query framework in multi-source heterogeneous scenarios and analyze its mechanism for handling real-world data conflicts,a virtualized global view is constructed based on RDF-MT technology.For user-defined SPARQL global queries,the framework leverages the virtualized global view to enable adaptive query localization and cross-source data access.Experimental results on real-world datasets demonstrate that RDF-MT technology can effectively support virtualized cross-source querying and the unified representation of multi-source heterogeneous data,while exhibiting good scalability with increasing data volumes.To address data conflicts,the framework employs namespace isolation to distinguish semantically identical entities originating from different sources.During the plan execution phase,a"merge-then-join"strategy is adopted for multiple matched data sources,which can effectively mitigate the impact of conflicting data on query processing and offer a significant advantage in terms of time cost.