Ontology-driven mapping of temporal data in biomedical databases
Biomedical databases contain considerable amounts of time-oriented data, which are not typically in a format suitable for querying complex temporal patterns. We address this problem in implementing Synchronus, a tool for ontology-driven mapping of data from an existing relational database to a datab...
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| Published in | AMIA ... Annual Symposium proceedings Vol. 2006; p. 1045 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
American Medical Informatics Association
2006
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1942-597X 1559-4076 |
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| Summary: | Biomedical databases contain considerable amounts of time-oriented data, which are not typically in a format suitable for querying complex temporal patterns. We address this problem in implementing Synchronus, a tool for ontology-driven mapping of data from an existing relational database to a database schema with a uniform temporal representation. We discuss the design of Synchronus, which consists of a schema-mapping ontology and a data-mapping algorithm that together provide general capabilities for database transformation. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 1942-597X 1559-4076 |