SPARQL Query Mediation for Data Integration
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...
| Main Authors: | , , |
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| Format: | Working Paper |
| Language: | en_US |
| Published: |
Massachusetts Institute of Technology. Engineering Systems Division
2016
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| Online Access: | http://hdl.handle.net/1721.1/102917 |
| _version_ | 1811094401937571840 |
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| author | Zheng, Xiaoqing Li, Xitong Madnick, Stuart E. |
| author_facet | Zheng, Xiaoqing Li, Xitong Madnick, Stuart E. |
| author_sort | Zheng, Xiaoqing |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T15:59:28Z |
| format | Working Paper |
| id | mit-1721.1/102917 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:59:28Z |
| publishDate | 2016 |
| publisher | Massachusetts Institute of Technology. Engineering Systems Division |
| record_format | dspace |
| spelling | mit-1721.1/1029172019-04-11T08:51:26Z SPARQL Query Mediation for Data Integration Zheng, Xiaoqing Li, Xitong Madnick, Stuart E. 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. 2016-06-03T14:50:48Z 2016-06-03T14:50:48Z 2012-01 Working Paper http://hdl.handle.net/1721.1/102917 en_US ESD Working Papers;ESD-WP-2012-02 application/pdf Massachusetts Institute of Technology. Engineering Systems Division |
| spellingShingle | Zheng, Xiaoqing Li, Xitong Madnick, Stuart E. SPARQL Query Mediation for Data Integration |
| title | SPARQL Query Mediation for Data Integration |
| title_full | SPARQL Query Mediation for Data Integration |
| title_fullStr | SPARQL Query Mediation for Data Integration |
| title_full_unstemmed | SPARQL Query Mediation for Data Integration |
| title_short | SPARQL Query Mediation for Data Integration |
| title_sort | sparql query mediation for data integration |
| url | http://hdl.handle.net/1721.1/102917 |
| work_keys_str_mv | AT zhengxiaoqing sparqlquerymediationfordataintegration AT lixitong sparqlquerymediationfordataintegration AT madnickstuarte sparqlquerymediationfordataintegration |