Federating and querying heterogeneous and distributed Web APIs and triple stores

Détails

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Etat: Public
Version: Final published version
Licence: CC0 1.0
ID Serval
serval:BIB_6A2C0BEAD983
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Federating and querying heterogeneous and distributed Web APIs and triple stores
Titre de la conférence
2022 ISMB Bio-Ontologies Community of Special Interest
Auteur⸱e⸱s
Mendes de Farias Tarcisio, Dessimoz Christophe, Ayllon Benitez Aaron, Yang Chen, Long Jiao, Sima Ana-Claudia
Statut éditorial
Publié
Date de publication
02/08/2022
Peer-reviewed
Oui
Langue
anglais
Résumé
Today's international corporations such as BASF, a leading company in the crop protection industry, produce and consume more and more data that are often fragmented and accessible through Web APIs. In addition, part of the proprietary and public data of BASF's interest are stored in triple stores and accessible with the SPARQL query language. Homogenizing the data access modes and the underlying semantics of the data without modifying or replicating the original data sources become important requirements to achieve data integration and interoperability. In this work, we propose a federated data integration architecture within an industrial setup, that relies on an ontology-based data access method. Our performance evaluation in terms of query response time showed that most queries can be answered in under 1 second.
Mots-clé
Ontology-based data access, Data integration and interoperability, Virtual knowledge graph, Bioinformatics databases in industry, SPARQL, Web API
Création de la notice
09/09/2022 14:55
Dernière modification de la notice
10/09/2022 6:11
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