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This paper presents the RecLAK , a Web application developed for the LAK Challenge 2014. RecLAK focuses on the analysis of the LAK dataset metadata and provides recommendations of potential candidate datasets to be interlinked with the LAK dataset. RecLAK follows an approach to generate recommendations based on Bayesian classifiers and on Social Networks Analysis measures. Furthermore, RecLAK generates graph visualizations that explore the LAK dataset over other datasets in the Linked Open Datadblp:conf/lak/LopesLNC14 fatcat:apvknok75rherndxlvhvsdkqlq