This document discusses demos and tools for linking knowledge discovery (KDD) and linked data. It summarizes several tools that integrate linked data and KDD processes like data preprocessing, mining, and postprocessing. OpenRefine, RapidMiner, R, Matlab, ProLOD++, DL-Learner, Spark, KNIME, and Gephi were highlighted as tools that support tasks like enriching data, running SPARQL queries, loading RDF data, and visualizing linked data. The document concludes by asking about gaps and how to increase adoption, noting linked data could benefit KDD with validation, enrichment, and reasoning over semantic web data.
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