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Titlebook: Knowledge Engineering and Knowledge Management; 20th International C Eva Blomqvist,Paolo Ciancarini,Fabio Vitali Conference proceedings 201

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Evolutionary Discovery of Multi-relational Association Rules from Ontological Knowledge Basesrogeneous Web resources referring to them. However, being strongly decoupled, ontologies and assertional knowledge can be out of sync. In particular, an ontology may be incomplete, noisy, and sometimes inconsistent with the actual usage of its conceptual vocabulary in the assertions. Despite of such
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An Incremental Learning Method to Support the Annotation of Workflows with Data-to-Data Relationsrios where what needs to be represented is the effect of the process on the data artefacts involved, for example when reasoning over the corresponding data policies. This can be achieved by annotating the workflow with the semantic relations that occur between these data artefacts. However, manually
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T,: Automatic Property Mapping for Tabular Dataus has the potential to facilitate a large number of applications, including the augmentation of knowledge bases from tables, the search for related tables and the completion of tables using knowledge bases. Computing such bridges is impeded by the poor accuracy of automatic property mapping, the la
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