Managing Open Data Evolution through bi-dimensional mappings

The diversity and volume of Open Data sources has grown rapidly in recent years, partly due to transparency policies adopted by many public institutions. But the data sources are intrinsically difficult to process and combine because they are very heterogeneous. Open Data sources are often made available in a de-normalized format, e.g., in large CSV…

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Exploring logical information to map relational databases into ontologies

There are several solutions that translate the schema and/or data extracted from relational databases into ontologies. One of the objectives of such translation is to achieve semantic integration between heterogeneous data models. The integrated data models can be used as input by reasoning tools. The existing solutions cover several aspects of the relational model. We…

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