Rewriting the Infinite Chase

Autor: Benedikt, Michael, Buron, Maxime, Germano, Stefano, Kappelmann, Kevin, Motik, Boris

Publikováno v: Proceedings of the VLDB Endowment, Volume 15, Issue 11, July 2022, pp 3045-3057

Guarded tuple-generating dependencies (GTGDs) are a natural extension of description logics and referential constraints. It has long been known that queries over GTGDs can be answered by a variant of the chase - a quintessential technique for reasoni

Externí odkaz: http://arxiv.org/abs/2212.08522

Towards Faster Reformulation-based Query Answering on RDF Graphs with RDFS Ontologies

Autor: Buron, Maxime, El Vaigh, Cheikh Brahim, Goasdoué, François

Publikováno v: International Semantic Web Conference (ISWC)
International Semantic Web Conference (ISWC), Oct 2021, Online, United States

International audience; Answering queries on RDF knowledge bases is a crucial data management task, usually performed through either graph saturation or query reformulation. In this short paper, we optimize our recent stateof-the-art query reformulat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a1498def4624296b98b6cf340fc95506
https://hal.inria.fr/hal-03347679/document

Efficient reasoning on large-scale heterogeneous data

Autor: Buron, Maxime

Publikováno v: Artificial Intelligence [cs.AI]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAX061⟩

The Semantic Web offers knowledge representations, which allow to integrate heterogeneous data from several sources into a unified knowledge base. In this thesis, we investigate techniques for querying such knowledge bases.The first part is devoted t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::50ea6b728e5503eeea7da6e6d55cc62c
https://tel.archives-ouvertes.fr/tel-03163889

Groupement de réponses de requête basée sur une ontologie

Autor: Buron, Maxime

Publikováno v: Logic in Computer Science [cs.LO]. 2017

International audience; We aim at easing the use of semantic and structured data by improving the restitution of answers.Instead of providing a set/ ranked list of answers, we devise techniques to group answers and tosemantically label the group in a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3bf67fa5afa61ac4f7fbfa4117298537
https://hal.inria.fr/hal-01622564

Obi-Wan: Ontology-Based RDF Integration of Heterogeneous Data

Autor: François Goasdoué, Marie-Laure Mugnier, Ioana Manolescu, Maxime Buron

Publikováno v: HAL
VLDB 2020-46th International Conference on Very Large Data Bases
VLDB 2020-46th International Conference on Very Large Data Bases, Aug 2020, Tokyo, Japan

We consider the problem of integrating heterogeneous data (relational, JSON, key-values, graphs etc.) and querying it efficiently. Traditional data integration systems fall into two classes: data warehousing , where all data source content is materia

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e837214456974e8f81d81a5f218033b
https://hal.inria.fr/hal-02921434