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ANAPSID: An Adaptive Query Processing Engine for SPARQL Endpoints

ANAPSID: An Adaptive Query Processing Engine for SPARQL Endpoints

This video was recorded at 10th International Semantic Web Conference (ISWC), Bonn 2011. Following the design rules of Linked Data, the number of available SPARQL endpoints that support remote query processing is quickly growing; however, because of the lack of adaptivity, query executions may frequently be unsuccessful. First, fixed plans identified following the traditional optimize-then execute paradigm, may timeout as a consequence of endpoint availability. Second, because blocking operators are usually implemented, endpoint query engines are not able to incrementally produce results, and may become blocked if data sources stop sending data. We present ANAPSID, an adaptive query engine for SPARQL endpoints that adapts query execution schedulers to data availability and run-time... Show More

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