Registering Scientific Information Sources for Semantic Mediation
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
A Semantic Mediation Approach for Problems in Computational Molecular Biology
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Estimating the quality of answers when querying over description logic ontologies
Data & Knowledge Engineering
A knowledge environment for the biodiversity and ecological sciences
Journal of Intelligent Information Systems
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EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
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This paper presents an approach to answering queries over an ontology modelled using a description logic. The ontology acts as a global schema, providing a declarative description of the concepts of the domain, the instances of which are stored in (potentially many) object-wrapped sources. Queries are expressed using terms from the rich vocabulary of the ontology, and are translated into an equivalent calculus expression, which references only theobjects available in the source databases. The query is then optimized on the basis of information from the ontology and the source databases. Distinctive features of the approach include: the use of the expressive ALCQI description logic, which supports both ontology definition and query expression; the adoption of a global-as-view approach to relating the ontology to the sources; and the use of the ontology to direct semantic optimization of queriesphrased over specific sources. The approach is being developed in, and is illustrated using examples from, bioinformatics.