Enriching RDF And SPARQL with Forgetting Capabilities

The goal of this thesis is to extend the RDF querying and data manipulation language SPARQL to support forgetting operations. To this end, RDF triples will be extended by a rank, a natural number that represents the degree of forgetting. Forgetting operations can then act similar to delete and update operations in SPARQL. However, instead of deleting the old information, it will only be "forgotten". Intuitively, it will be moved from the short-term memory to the long-term memory. This allows remembering forgotten information, but also to optimize query runtime by focussing on active active information and to resolve inconsistencies by giving priority to active and recently forgotten information.