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In recent times, it has been widely recognized that, due to their inherent scalability, frameworks based on MapReduce are indispensable for so-called "Big Data" applications. However, for Semantic Web applications using SPARQL, there is still a demand for sophisticated MapReduce join techniques for processing basic graph patterns, which are at the core of SPARQL. Renowned for their stable and efficient performance, sort-merge joins have become widely used in DBMSs. In this paper, we demonstratedoi:10.1109/cloudcom.2013.9 dblp:conf/cloudcom/Przyjaciel-ZablockiSSHL13 fatcat:72mfthvmnzh73mjxdsksqyera4