| dc.contributor.author | Zheng, Xiaoqing | |
| dc.contributor.author | Li, Xitong | |
| dc.contributor.author | Madnick, Stuart E. | |
| dc.date.accessioned | 2016-06-03T14:50:48Z | |
| dc.date.available | 2016-06-03T14:50:48Z | |
| dc.date.issued | 2012-01 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/102917 | |
| dc.description.abstract | 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. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Massachusetts Institute of Technology. Engineering Systems Division | en_US |
| dc.relation.ispartofseries | ESD Working Papers;ESD-WP-2012-02 | |
| dc.title | SPARQL Query Mediation for Data Integration | en_US |
| dc.type | Working Paper | en_US |
