Accessing scientific data through knowledge graphs with Ontop

Details

Serval ID
serval:BIB_962C4367A194
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Accessing scientific data through knowledge graphs with Ontop
Journal
Cell Patterns
Author(s)
Diego Calvanese (co-first), Davide Lanti (co-first), Tarcisio Mendes De Farias (co-first), Alessandro Mosca (co-first), Guohui Xiao (co-first)
Publication state
Published
Issued date
08/10/2021
Volume
2
Number
10
Language
english
Abstract
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.
Create date
13/10/2021 9:31
Last modification date
14/10/2021 6:40
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