Accessing scientific data through knowledge graphs with Ontop.

Détails

ID Serval
serval:BIB_962C4367A194
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Accessing scientific data through knowledge graphs with Ontop.
Périodique
Patterns
Auteur(s)
Calvanese D., Lanti D., Mendes De Farias T., Mosca A., Xiao G.
ISSN
2666-3899 (Electronic)
ISSN-L
2666-3899
Statut éditorial
Publié
Date de publication
08/10/2021
Peer-reviewed
Oui
Volume
2
Numéro
10
Pages
100346
Langue
anglais
Notes
Publication types: Journal Article ; Review
Publication Status: epublish
Résumé
In this tutorial, we learn how to set up and exploit the virtual knowledge graph (VKG) approach to access data stored in relational legacy systems and to enrich such data with domain knowledge coming from different heterogeneous (biomedical) resources. The VKG approach is based on an ontology that describes a domain of interest in terms of a vocabulary familiar to the user and exposes a high-level conceptual view of the data. Users can access the data by exploiting the conceptual view, and in this way they do not need to be aware of low-level storage details. They can easily integrate ontologies coming from different sources and can obtain richer answers thanks to the interaction between data and domain knowledge.
Mots-clé
biomedical data, data integration, ontology language, ontology-based data access, virtual knowledge graphs
Pubmed
Web of science
Open Access
Oui
Création de la notice
13/10/2021 8:31
Dernière modification de la notice
09/11/2021 6:40
Données d'usage