- Mobile Agent-Based Network Management
- Advanced Research in Systems and Signal Processing
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Data Quality and Management
- Topic Modeling
- Biomedical and Engineering Education
- Advanced Clustering Algorithms Research
- Advanced Database Systems and Queries
- Chromium effects and bioremediation
- Caching and Content Delivery
- Data Mining Algorithms and Applications
- Data Management and Algorithms
- Speech and dialogue systems
- Scientific Computing and Data Management
- Educational Tools and Methods
- Big Data Technologies and Applications
- Biomedical Text Mining and Ontologies
- Peer-to-Peer Network Technologies
Laboratoire des Sciences du Numérique de Nantes
2022-2024
Nantes Université
2023-2024
Centre National de la Recherche Scientifique
2023-2024
Processing SPARQL queries over large federations of endpoints is crucial for keeping the Semantic Web decentralized.Despite existence hundreds endpoints, current federation engines only scale to dozens.One major issue comes from definition source selection problem, i.e., finding minimal set contact per triple pattern.Even if such a minimal, few combinations sources may return results.Consequently, most query processing time wasted evaluating that no results.In this paper, we introduce...
Processing SPARQL queries over large federations of endpoints is essential for maintaining the Semantic Web decentralized. However, existing federation engines struggle to query more than a dozen endpoints. We recently proposed FedUP, new type engine based on unions-over-joins plans that outperforms state-of-the-art by orders magnitude federations. This demonstration paper introduces Fediscount, federated online shopping application FedShop benchmark, illustrating capabilities FedUP. The...