SPARQL Query Mediation for Data Integration
Xiaoqing Zheng, Xitong Li, Stuart Madnick
Abstract
Open-access reader
Xiaoqing Zheng, Xitong Li, Stuart Madnick
Abstract
Open-access reader
The Semantic Web provides a set of promising technologies to make sophisticated data integration much easier, because data on the semantic Web is allowed to be connected by links and complex queries can be executed against the dataset of those linked data. Although the Semantic Web techniques offer RDF/OWL to support schematic mappings between diverse data sources, large-scale data integration is still severely hampered by various types of data-level semantic heterogeneity among the data sources. In the paper, we show that SPARQL queries that are intended to execute over multiple heterogeneous data sources can be mediated automatically. 1.
A significance statement is not available in the OpenAlex record.
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 Semantic Web provides a set of promising technologies to make sophisticated data integration much easier, because data on the semantic Web is allowed to be connected by links and complex queries can be executed against the dataset of those linked data. Although the Semantic Web techniques offer RDF/OWL to support schematic mappings between diverse data sources, large-scale data integration is still severely hampered by various types of data-level semantic heterogeneity among the data sources. In the paper, we show that SPARQL queries that are intended to execute over multiple heterogeneous data sources can be mediated automatically. 1.
Key concepts: SPARQL, Computer science, Linked data, Information retrieval, Data integration, RDF, Semantic Web, Schematic