research-article

SPARQLByE: querying RDF data by example

Authors:

Gonzalo Diaz,

Marcelo Arenas, and

Michael BenediktAuthors Info & Claims

Proceedings of the VLDB Endowment, Volume 9, Issue 13

Pages 1533 - 1536

https://doi.org/10.14778/3007263.3007302

Published: 01 September 2016 Publication History

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Abstract

Semantic Web technologies such as RDF and its query language, SPARQL, offer the possibility of opening up the use of public datasets to a great variety of ordinary users. But a key obstacle to the use of open data is the unfamiliarity of users with the structure of data or with SPARQL. To deal with these issues, we introduce a system for querying RDF data by example. At its core is a technique for reverse-engineering SPARQL queries by example. We demonstrate how reverse engineering along with other techniques, such as query relaxation, enables our system, SPARQLByE, to guide users who are unfamiliar with both the dataset and with SPARQL to the desired query and result set.

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Cited By

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Papadaki MTzitzikas Y(2024)Unifying Faceted Search and Analytics over RDF Knowledge GraphsKnowledge and Information Systems10.1007/s10115-024-02076-966:7(3921-3958)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s10115-024-02076-9
Amsterdamer YCallen Y(2024)Interactive SPARQL query formulation using provenanceKnowledge and Information Systems10.1007/s10115-023-01939-x66:3(2165-2191)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1007/s10115-023-01939-x
Diestelkämper RLee SHerschel MGlavic BLi GLi ZIdreos SSrivastava D(2021)To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested DataProceedings of the 2021 International Conference on Management of Data10.1145/3448016.3457249(405-417)Online publication date: 9-Jun-2021
https://dl.acm.org/doi/10.1145/3448016.3457249
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cover image Proceedings of the VLDB Endowment

Proceedings of the VLDB Endowment Volume 9, Issue 13

September 2016

378 pages

ISSN:2150-8097

Editor:
Surajit Chaudhuri
Microsoft Research

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VLDB Endowment

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Published: 01 September 2016

Published in PVLDB Volume 9, Issue 13

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Papadaki MTzitzikas Y(2024)Unifying Faceted Search and Analytics over RDF Knowledge GraphsKnowledge and Information Systems10.1007/s10115-024-02076-966:7(3921-3958)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s10115-024-02076-9
Amsterdamer YCallen Y(2024)Interactive SPARQL query formulation using provenanceKnowledge and Information Systems10.1007/s10115-023-01939-x66:3(2165-2191)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1007/s10115-023-01939-x
Diestelkämper RLee SHerschel MGlavic BLi GLi ZIdreos SSrivastava D(2021)To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested DataProceedings of the 2021 International Conference on Management of Data10.1145/3448016.3457249(405-417)Online publication date: 9-Jun-2021
https://dl.acm.org/doi/10.1145/3448016.3457249
Lissandrini MPedersen THose KMottin D(2020)Knowledge graph explorationACM SIGWEB Newsletter10.1145/3409481.34094852020:Summer(1-8)Online publication date: 27-Jul-2020
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Fariha AMeliou A(2019)Example-driven query intent discoveryProceedings of the VLDB Endowment10.14778/3342263.334226612:11(1262-1275)Online publication date: 1-Jul-2019
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Bonifati AComignani UCoquery EThion R(2019)Interactive Mapping Specification with Exemplar TuplesACM Transactions on Database Systems10.1145/332148544:3(1-44)Online publication date: 5-Jun-2019
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Namaki MSong QWu YBoncz PManegold SAilamaki ADeshpande AKraska T(2019)NAVIGATEProceedings of the 2019 International Conference on Management of Data10.1145/3299869.3320245(1965-1968)Online publication date: 25-Jun-2019
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Mottin DLissandrini MVelegrakis YPalpanas TBoncz PManegold SAilamaki ADeshpande AKraska T(2019)Exploring the Data Wilderness through ExamplesProceedings of the 2019 International Conference on Management of Data10.1145/3299869.3314031(2031-2035)Online publication date: 25-Jun-2019
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Thost VDolby J(2019)QED: Out-of-the-Box Datasets for SPARQL Query EvaluationThe Semantic Web10.1007/978-3-030-21348-0_32(491-506)Online publication date: 2-Jun-2019
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