This module focuses on providing means for exploring Linked Data. In particular, it gives an overview of current visualization tools and techniques, looking at semantic browsers and applications for presenting the data to the end user. Also includes approaches for Linked Data analysis, describing how available data can be synthesized and processed in order to draw conclusions. Contains a number of practical examples with available tools as well as an extensive demo based on analyzing, visualizing and searching data from the music domain.

Keywords: Information Workbench, Data Visualization, Linked Open Data Cloud, Semantic search, SPARQL, Machine learning, R (programming language), Dashboards
Publisher: EUCLID Project
Time required: P4H
Educational use: instruction
Educational audience: student
Interactivity type: mixed

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