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@@ -30,6 +30,12 @@ For our new extension of the Phase #2 of this paper, we include two other Relati
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<p align="center"><img src="images/wpt.png" alt="spark"></p>
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**Extended Vertical Tables ["ExtVP"]** aims at minimizing the size of input data during query evaluation [22]. In particular, ExtVP minimizes data skewness and eliminates dangling triples (i.e. triples that do not have
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a join partner) that do not contribute to any join in the query. This extension is inspired by the Semi-Join reductions.
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<p align="center"><img src="images/extvp.png" alt="spark"></p>
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### Storage Backends
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We evaluate the performance of SparkSQL querying engine for processing SPARQL queries using two different storage backends, namely, _Hive_, and _HDFS_. For the latter one, we compare four different data formats (_CSV_, _ORC_, _Avro_, and _Parquet_).

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