We welcome high quality position and research papers in which (1) Linked Data are used as support of Knowledge Discovery processes to extract useful knowledge, or (2) Knowledge Discovery techniques are adapted to work and possibly extend Linked Data.

Topics of either theoretical and applied interest include, but are not limited to:

• Linked Data for data pre-processing: cleaning, sorting, filtering or enrichment
• Linked Data applied to Machine Learning
• Linked Data for pattern extraction and behaviour detection
• Linked Data for pattern interpretation, visualisation or optimisation
• Reasoning with patterns and Linked Data
• Reasoning on and extracting knowledge from Linked Data
• Linked Data mining
• Links prediction or links discovery using KDD
• Graph mining in Linked Data
• Interacting with Linked Data for Knowledge Discovery