Optimizing SPARQL Queries using Shape Statistics
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Autori:
Kashif Rabbani, Matteo Lissandrini, Katja Hose
Pubblicato in:
Proceedings of the 24th International Conference on Extending Database Technology, EDBT 2021, Numero 2021, 2021, Pagina/e 505-510
Editore:
OpenProceedings.org
DOI:
10.5441/002/edbt.2021.59
SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graphs
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Autori:
Georgia Troullinou, Haridimos Kondylakis, Matteo Lissandrini, Davide Mottin
Pubblicato in:
Proceedings of the 2021 International Conference on Management of Data, 2021, Pagina/e 2789-2793, ISBN 9781450383431
Editore:
ACM
DOI:
10.1145/3448016.3452765
MindReader - Recommendation over Knowledge Graph Entities with Explicit User Ratings
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Autori:
Anders H. Brams, Anders L. Jakobsen, Theis E. Jendal, Matteo Lissandrini, Peter Dolog, Katja Hose
Pubblicato in:
Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020, Pagina/e 2975-2982, ISBN 9781450368599
Editore:
ACM
DOI:
10.1145/3340531.3412759
LSQB: a large-scale subgraph query benchmark
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Autori:
Amine Mhedhbi, Matteo Lissandrini, Laurens Kuiper, Jack Waudby, Gabor Szarnyas
Pubblicato in:
Proceedings of the 4th Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2021
Editore:
Association for Computing Machinery
DOI:
10.1145/3461837.3464516
