北京大学学报（自然科学版）2026，Vol.62Issue(4)：719-728,10.DOI:10.13209/j.0479-8023.2025.089
多源异构场景下RDF-MT映射策略及验证
RDF-MT Mapping Strategies and Verification under Multi-source Heterogeneous Scenarios
摘要
Abstract
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.关键词
多源异构数据/联邦查询/虚拟化集成/RDF-MT/数据冲突Key words
multi-source heterogeneous data/federal inquiries/virtualization integration/RDF-MT/data conflicts引用本文复制引用
尚婧怡,侯文哲,曾维新,赵翔..多源异构场景下RDF-MT映射策略及验证[J].北京大学学报（自然科学版）,2026,62(4):719-728,10.基金项目
国家自然科学基金(U23A20296,62272469,62302513)和湖南省科技创新计划(2023RC1007)资助 （U23A20296,62272469,62302513）
