Abstract
Many modern systems rely on rich heterogeneous data that has been integrated from a variety of different applications and sources. To successfully perform their tasks, these systems require to know which data refer to the same real-world entities, such as locations, people, or movies. My work focuses on addressing this requirement through a new approach for entity-aware query processing over heterogeneous data. Data provided for integration is processed to generate the possible entities and linkages between these entities. This information is never merged with the original data, but used during query processing to provide entity-aware results that reflect the real-world entities existing in the current data. Special emphasis is given to the effective management of uncertainty and correlations that either exist in the original data, or are generated by data matching techniques.
Original language | English |
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Title of host publication | Proceedings of the EDBT/ICDT Workshops |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Pages | 170-176 |
Number of pages | 7 |
DOIs | |
Publication status | Published - Mar 2009 |
Externally published | Yes |
Event | EDBT/ICDT 2009 joint conference - Saint-Petersburg, Russian Federation Duration: 23 Mar 2009 → 26 Mar 2009 |
Conference
Conference | EDBT/ICDT 2009 joint conference |
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Country/Territory | Russian Federation |
City | Saint-Petersburg |
Period | 23/03/09 → 26/03/09 |