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PFed: Recommending Plausible Federated SPARQL Queries

Abstract : Federated SPARQL queries allow to query multiple inter-linked datasets hosted by remote SPARQL endpoints. However, finding federated queries over a growing number of datasets is challenging. In this paper, we propose PFed, an approach to recommend plausible fed-erated queries based on real query logs of different datasets. The problem is not to find similar federated queries, but plausible complementary queries over different datasets. Starting with a real SPARQL query from a given log, PFed stretches the query with real queries from different logs. To prune the research space, PFed proposes semantic summary to prune the query logs. Experimental results with real logs of DBpedia and SWDF demonstrate that PFed is able to prune drastically the logs and recommend plausible federated queries.
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Contributor : Hala Skaf-Molli <>
Submitted on : Wednesday, September 4, 2019 - 11:30:42 AM
Last modification on : Tuesday, September 21, 2021 - 4:06:16 PM
Long-term archiving on: : Thursday, February 6, 2020 - 9:03:39 AM


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  • HAL Id : hal-02278260, version 1


Florian Hacques, Hala Skaf-Molli, Pascal Molli, Sara El Hassad. PFed: Recommending Plausible Federated SPARQL Queries. 30th International Conference on Database and Expert Systems Applications - DEXA 2019, Aug 2019, Linz, Austria. ⟨hal-02278260⟩



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