research-article

Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments

Authors:

Maribel AcostaAuthors Info & Claims

WWW '22: Proceedings of the ACM Web Conference 2022

Pages 1047 - 1057

https://doi.org/10.1145/3485447.3511947

Published: 25 April 2022 Publication History

Abstract

Linked Data Fragments (LDFs) are Web interfaces that enable querying knowledge graphs on the Web. These interfaces, such as SPARQL endpoints or Triple Pattern Fragment servers, differ in the SPARQL expressions they can evaluate and the metadata they provide. So far, federated query processing has focused on federations with a single type of LDF interface, typically SPARQL endpoints. In this work, we address the challenges of SPARQL query processing over federations with heterogeneous LDF interfaces. To this end, we propose an interface-aware framework and illustrate its applicability with a prototypical approach. The results over the FedBench benchmark show a substantial improvement in performance by devising this interface-aware approach that exploits the capabilities of heterogeneous interfaces in federations.

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Cited By

Azzam APolleres AD. Fernández JAcosta M(2024)smart-KG: Partition-Based Linked Data Fragments for querying knowledge graphsSemantic Web10.3233/SW-243571(1-45)Online publication date: 20-Mar-2024
https://doi.org/10.3233/SW-243571
Aimonier-Davat JNédelec BDang MMolli PSkaf-Molli HChua TNgo CKa-Wei Lee RKumar RLauw H(2024)FedUP: Querying Large-Scale Federations of SPARQL EndpointsProceedings of the ACM on Web Conference 202410.1145/3589334.3645704(2315-2324)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3645704
SOYGAZİ FTUĞLULAR TDİKENELLİ O(2023)Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data SpaceEuropean Journal of Technic10.36222/ejt.1402149Online publication date: 26-Dec-2023
https://doi.org/10.36222/ejt.1402149
Show More Cited By

Index Terms

Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments
1. Information systems
  1. Data management systems
    1. Database management system engines
      1. Database query processing
      2. Parallel and distributed DBMSs
  2. Information retrieval
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Database theory
      1. Database query processing and optimization (theory)

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

WWW '22: Proceedings of the ACM Web Conference 2022

April 2022

3764 pages

ISBN:9781450390965

DOI:10.1145/3485447

Editors:
Frédérique Laforest
INSA Lyon, France
,
Raphaël Troncy
EURECOM, France
,
Elena Simperl
King’s College London, UK
,
Deepak Agarwal
Pinterest, USA
,
Aristides Gionis
KTH Royal Institute of Technology, Sweden
,
Ivan Herman
W3C / retired
,
Lionel Médini
Université Lyon 1, France

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Published: 25 April 2022

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Cited By

Azzam APolleres AD. Fernández JAcosta M(2024)smart-KG: Partition-Based Linked Data Fragments for querying knowledge graphsSemantic Web10.3233/SW-243571(1-45)Online publication date: 20-Mar-2024
https://doi.org/10.3233/SW-243571
Aimonier-Davat JNédelec BDang MMolli PSkaf-Molli HChua TNgo CKa-Wei Lee RKumar RLauw H(2024)FedUP: Querying Large-Scale Federations of SPARQL EndpointsProceedings of the ACM on Web Conference 202410.1145/3589334.3645704(2315-2324)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3645704
SOYGAZİ FTUĞLULAR TDİKENELLİ O(2023)Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data SpaceEuropean Journal of Technic10.36222/ejt.1402149Online publication date: 26-Dec-2023
https://doi.org/10.36222/ejt.1402149
Zeimetz THose KSchenkel R(2023)Tunable Query Optimizer for Web APIs and User PreferencesProceedings of the 12th Knowledge Capture Conference 202310.1145/3587259.3627542(92-100)Online publication date: 5-Dec-2023
https://dl.acm.org/doi/10.1145/3587259.3627542
Taelman RVerborgh R(2023)Link Traversal Query Processing Over Decentralized Environments with Structural AssumptionsThe Semantic Web – ISWC 202310.1007/978-3-031-47240-4_1(3-22)Online publication date: 6-Nov-2023
https://dl.acm.org/doi/10.1007/978-3-031-47240-4_1
Hose K(2023)Knowledge Engineering in the Era of Artificial IntelligenceAdvances in Databases and Information Systems10.1007/978-3-031-42914-9_1(3-15)Online publication date: 4-Sep-2023
https://dl.acm.org/doi/10.1007/978-3-031-42914-9_1
Chaves-Fraga DCorcho OYedro FMoreno ROlías JDe La Azuela A(2022)Systematic Construction of Knowledge Graphs for Research-Performing OrganizationsInformation10.3390/info1312056213:12(562)Online publication date: 30-Nov-2022
https://doi.org/10.3390/info13120562
Páez OVilches-Blázquez L(2022)Bringing Federated Semantic Queries to the GIS-Based ScenarioISPRS International Journal of Geo-Information10.3390/ijgi1102008611:2(86)Online publication date: 25-Jan-2022
https://doi.org/10.3390/ijgi11020086
Troumpoukis AKonstantopoulos SProkopaki-Kostopoulou N(2022)A geospatial source selector for federated GeoSPARQL queryingOpen Research Europe10.12688/openreseurope.14605.22(48)Online publication date: 6-Oct-2022
https://doi.org/10.12688/openreseurope.14605.2
Heling LAcosta M(2022)Utility-aware Semantics for Alternative Service Expressions in Federated SPARQL Queries2022 IEEE International Conference on Web Services (ICWS)10.1109/ICWS55610.2022.00042(208-218)Online publication date: Jul-2022
https://doi.org/10.1109/ICWS55610.2022.00042
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