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Lecture Notes in Computer Science
In this paper we present FedBench, a comprehensive benchmark suite for testing and analyzing the performance of federated query processing strategies on semantic data. The major challenge lies in the heterogeneity of semantic data use cases, where applications may face different settings at both the data and query level, such as varying data access interfaces, incomplete knowledge about data sources, availability of different statistics, and varying degrees of query expressiveness. Accountingdoi:10.1007/978-3-642-25073-6_37 fatcat:pluwu6kctbfbrgmpabfb7fjbki