Abstract
When consuming Linked Data from multiple sources, or from a data source after deduplication of entities, conflicting, missing or outdated values must be dealt with during data fusion in order to increase the usefulness and quality of the data. In this poster, we argue that the nature of Linked Data in RDF requires a more sophisticated approach to data fusion than the current Linked Data fusion tools provide.
We demonstrate where they fall short on a real case of public procurement data fusion when dealing with property dependencies and fusion of structured values, and we propose new data fusion extensions to address these problems.