More complete resultset retrieval from large heterogeneous RDF sources

André Valdestilhas; Tommaso Soru; Muhammad Saleem

doi:10.1145/3360901.3364436

More complete resultset retrieval from large heterogeneous RDF sources

André Valdestilhas, Tommaso Soru, Muhammad Saleem

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Over the last years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laudromat, SPARQL endpoints provide access to the hundered of thousands of RDF datasets, representing billions of facts. These datasets are available in different formats such as raw data dumps and HDT files or directly accessible via SPARQL endpoints. Querying such large amount of distributed data is particularly challenging and many of these datasets cannot be directly queried using the SPARQL query language. In order to tackle these problems, we present WimuQ, an integrated query engine to execute SPARQL queries and retrieve results from large amount of heterogeneous RDF data sources. Presently, WimuQ is able to execute both federated and non-federated SPARQL queries over a total of 668,166 datasets from LOD Stats and LOD Laudromat as well as 559 active SPARQL endpoints. These data sources represent a total of 221.7 billion triples from more than 5 terabytes of information from datasets retrieved using the service "Where is My URI" (WIMU). Our evaluation on state-of-the-art real-data benchmarks shows that WimuQ retrieves more complete results for the benchmark queries.

Original language	English
Title of host publication	K-CAP 2019 - Proceedings of the 10th International Conference on Knowledge Capture
Publisher	Association for Computing Machinery, Inc
Pages	223-230
ISBN (Electronic)	9781450370080
DOIs	https://doi.org/10.1145/3360901.3364436
Publication status	Published - 23 Sept 2019
Externally published	Yes
Event	10th International Conference on Knowledge Capture, K-CAP 2019 - Marina Del Rey, United States Duration: 19 Nov 2019 → 21 Nov 2019

Conference

Conference	10th International Conference on Knowledge Capture, K-CAP 2019
Country/Territory	United States
City	Marina Del Rey
Period	19/11/19 → 21/11/19

Funding

This work has been supported by the project LIMBO (Grant no. 19F2029I), OPAL (no. 19F2028A), KnowGraphs (no. 860801), and SOLIDE (no. 13N14456), CNPq Brazil under grants No. 201536/2014- 5 and Deutsche Forschungsgemeinschaft (DFG) - Project-number: 317044652. Special thanks to Thomas Riechert This work has been supported by the project LIMBO (Grant no. 19F2029I), OPAL (no. 19F2028A), KnowGraphs (no. 860801), and SOLIDE (no. 13N14456), CNPq Brazil under grants No. 201536/2014-5 and Deutsche Forschungsgemeinschaft (DFG) - Project-number: 317044652. Special thanks to Thomas Riechert.

Funders	Funder number
OPAL	19F2028A, 860801
SOLIDE	13N14456
Thomas Riechert
Deutsche Forschungsgemeinschaft	317044652
Conselho Nacional de Desenvolvimento Científico e Tecnológico	201536/2014-5

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title = "More complete resultset retrieval from large heterogeneous RDF sources",

abstract = "Over the last years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laudromat, SPARQL endpoints provide access to the hundered of thousands of RDF datasets, representing billions of facts. These datasets are available in different formats such as raw data dumps and HDT files or directly accessible via SPARQL endpoints. Querying such large amount of distributed data is particularly challenging and many of these datasets cannot be directly queried using the SPARQL query language. In order to tackle these problems, we present WimuQ, an integrated query engine to execute SPARQL queries and retrieve results from large amount of heterogeneous RDF data sources. Presently, WimuQ is able to execute both federated and non-federated SPARQL queries over a total of 668,166 datasets from LOD Stats and LOD Laudromat as well as 559 active SPARQL endpoints. These data sources represent a total of 221.7 billion triples from more than 5 terabytes of information from datasets retrieved using the service {"}Where is My URI{"} (WIMU). Our evaluation on state-of-the-art real-data benchmarks shows that WimuQ retrieves more complete results for the benchmark queries.",

author = "Andr{\'e} Valdestilhas and Tommaso Soru and Muhammad Saleem",

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booktitle = "K-CAP 2019 - Proceedings of the 10th International Conference on Knowledge Capture",

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Valdestilhas, A, Soru, T & Saleem, M 2019, More complete resultset retrieval from large heterogeneous RDF sources. in K-CAP 2019 - Proceedings of the 10th International Conference on Knowledge Capture. Association for Computing Machinery, Inc, pp. 223-230, 10th International Conference on Knowledge Capture, K-CAP 2019, Marina Del Rey, United States, 19/11/19. https://doi.org/10.1145/3360901.3364436

More complete resultset retrieval from large heterogeneous RDF sources. / Valdestilhas, André; Soru, Tommaso; Saleem, Muhammad.
K-CAP 2019 - Proceedings of the 10th International Conference on Knowledge Capture. Association for Computing Machinery, Inc, 2019. p. 223-230.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AB - Over the last years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laudromat, SPARQL endpoints provide access to the hundered of thousands of RDF datasets, representing billions of facts. These datasets are available in different formats such as raw data dumps and HDT files or directly accessible via SPARQL endpoints. Querying such large amount of distributed data is particularly challenging and many of these datasets cannot be directly queried using the SPARQL query language. In order to tackle these problems, we present WimuQ, an integrated query engine to execute SPARQL queries and retrieve results from large amount of heterogeneous RDF data sources. Presently, WimuQ is able to execute both federated and non-federated SPARQL queries over a total of 668,166 datasets from LOD Stats and LOD Laudromat as well as 559 active SPARQL endpoints. These data sources represent a total of 221.7 billion triples from more than 5 terabytes of information from datasets retrieved using the service "Where is My URI" (WIMU). Our evaluation on state-of-the-art real-data benchmarks shows that WimuQ retrieves more complete results for the benchmark queries.

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ER -

More complete resultset retrieval from large heterogeneous RDF sources

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