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 inAMIA ... Annual Symposium proceedings Vol. 2006; p. 1045
Main Authors Narayanan, Preetha S, O'Connor, Martin J, Das, Amar K
Format Journal Article
LanguageEnglish
Published United States American Medical Informatics Association 2006
Subjects
Algorithms
Databases as Topic
Medical Informatics
Software
Time
Vocabulary, Controlled
Online AccessGet full text
ISSN1942-597X
1559-4076

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Abstract 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.
AbstractList 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.
Biomedical databases contain considerable amounts of time-oriented data, which typically are not 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.
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.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.
Author O'Connor, Martin J
Das, Amar K
Narayanan, Preetha S
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References 12474882 - Proc AMIA Symp. 2002;:567-71
12463814 - Proc AMIA Symp. 2002;:195-9
12520007 - Nucleic Acids Res. 2003 Jan 1;31(1):298-303
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Databases as Topic
Medical Informatics
Software
Time
Vocabulary, Controlled
Title Ontology-driven mapping of temporal data in biomedical databases
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