Abstract
Real-world ontologies have associated data sets. In order to exploit ontologies as a means to provide semantics to the data it is necessary not only to reason about concepts and their properties but also to be able to query the underlying data and efficiently obtain answers. We view ontologies as conceptual schemas that are populated with data. We define a generic graph-based representation for ontology schemas and provide a language for querying ontologies. This language is appropriate for ontology transformation and ontology integration. We show how ontologies can be integrated by defining views over multiple ontologies, and how user queries can be specified using views. Our approach can be easily implemented on top of a relational database management system.
Original language | English (US) |
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Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Editors | Il-Yeol Song, Stephen W. Liddle, Tok Wang Ling, Peter Scheuermann |
Publisher | Springer Verlag |
Pages | 548-561 |
Number of pages | 14 |
ISBN (Print) | 3540202994, 9783540202998 |
DOIs | |
State | Published - 2003 |
Externally published | Yes |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 2813 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- General Computer Science