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The Semantic Web consists of many billions of statements made of terms that are either URIs or literals. Since these terms usually consist of long sequences of characters, an effective compression technique must be used to reduce the data size and increase the application performance. One of the best known techniques for data compression is dictionary encoding. In this paper we propose a MapReduce algorithm that efficiently compresses and decompresses a large amount of Semantic Web data. Wedoi:10.1145/1851476.1851591 dblp:conf/hpdc/UrbaniMB10 fatcat:q4oryyljlbg3fevkpt4ee6kzzu