Fediscount: Shopping Online at a Federated Store Using FedUP as SPARQL Federation Engine

Author:

Aimonier-Davat Julien1ORCID,Dang Minh-Hoang1ORCID,Molli Pascal1ORCID,Nédelec Brice1ORCID,Skaf-Molli Hala1ORCID

Affiliation:

1. Nantes Université, Nantes, France

Funder

Agence Nationale de la Recherche

Publisher

ACM

Reference11 articles.

1. Julien Aimonier-Davat, Minh-Hoang Dang, Pascal Molli, Brice Nédelec, and Hala Skaf-Molli. 2024. FedUP: Querying Large-Scale Federations of SPARQL Endpoints. In The Web Conference 2024 (WWW'2024). Singapore.

2. Julien Aimonier-Davat, Brice Nédelec, Minh-Hoang Dang, Pascal Molli, and Hala Skaf-Molli. 2023. RAW-JENA: Approximate Query Processing for SPARQL Endpoints. In The Semantic Web - ISWC 2023 - 22th International Semantic Web Conference, Athens, Greece, November 6--10, 2023, Proceedings.

3. Sijin Cheng and Olaf Hartig. 2021. FedQPL: A Language for Logical Query Plans over Heterogeneous Federations of RDF Data Sources. In the 22nd International Conference on Information Integration and Web-Based Applications & Services. Association for Computing Machinery, 436--445.

4. Minh-Hoang Dang, Julien Aimonier-Davat, Pascal Molli, Hala Skaf-Molli, and Yotlan Le Crom. 2023. FedShop: A Benchmark for Testing the Scalability of SPARQL Federation Engines. In The Semantic Web - ISWC 2023 - 22th International Semantic Web Conference, Athens, Greece, November 6--10, 2023, Proceedings.

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