07 June 2016
What makes a linked data pattern interesting?
Join Brunel University research fellow Szymon Klarman for an exploration of the emerging field of linked data mining. Linked data mining is the task of extracting interesting patterns from data sets expressed in the W3C OWL/RDF(S) standards.
Szymon proposed a few preliminary concepts about linked data patterns and observations that might lead to some promising answers about what makes a linked data pattern interesting at all.
James Phare, Managing Director of Data to Value and a Neo4j practitioner. James explained how to analyse the recently released Panama Papers data using graph databases and query language Cypher.