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• W1574408212 abstract "Creating a unified view on structured data residing in different, heterogeneous data sources is a problem that exists in many application domains. Various approaches have been proposed to address it. In this thesis, a different approach is taken by using an existing, ontology based querying tool and extending it to cope with heterogeneous data sources. The approach uses a mapping from ontology symbols to data source symbols on a high-level query tree. A RDF (Resource Description Framework) compliant description of data sources is proposed. Furthermore, a prototype implementation is presented. The approach is compared with other, description logic based, data integration approaches." @default.
• W1574408212 created "2016-06-24" @default.
• W1574408212 creator A5073323555 @default.
• W1574408212 date "2002-01-01" @default.
• W1574408212 modified "2023-09-23" @default.
• W1574408212 title "A context-based transformation of high-level conceptual query trees" @default.
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• W1574408212 doi "https://doi.org/10.3929/ethz-a-004655492" @default.
• W1574408212 hasPublicationYear "2002" @default.
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