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In recent years we have seen a proliferation of Linked Open Data (LOD) compliant datasets becoming available on the web, leading to an increased number of opportunities for data consumers to build smarter applications which integrate data coming from disparate sources. However, often the integration is not easily achievable since it requires discovering and expressing associations across heterogeneous data sets. The goal of this work is to increase the discoverability and reusability of thedoi:10.4230/oasics.ldk.2019.15 dblp:conf/ldk/YamanPF19 fatcat:rk7usirqz5frlkzgs3kqktzaki