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Managing Data from Heterogeneous Data Sources Using Knowledge Layer

IFIP International Federation for Information Processing
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  • Logic


In the process of data integration using ontologies it is important to manage data from external data sources in the same way as data stored in the Knowledge Base. In previous papers [1], [2] the way of inference from data stored in the Knowledge Base, using Knowledge Cartography idea has been presented. However, this solution requires loading all data to the Knowledge Base. The solution presented in this paper shows how the Knowledge Cartography can be used to infer from data stored in external data sources, without loading them to the Knowledge Base. The presented solution is to enrich each data source with an additional layer that allows managing data using signatures. The paper additionally describes the results of tests comparing times of inference when data are loaded to the Knowledge Base and when data are fetched on demand. Full Text at Springer, may require registration or fee

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