Accessing scientific data through knowledge graphs with Ontop.

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_962C4367A194
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Accessing scientific data through knowledge graphs with Ontop.
Journal
Patterns
Author(s)
Calvanese D., Lanti D., Mendes De Farias T., Mosca A., Xiao G.
ISSN
2666-3899 (Electronic)
ISSN-L
2666-3899
Publication state
Published
Issued date
08/10/2021
Peer-reviewed
Oui
Volume
2
Number
10
Pages
100346
Language
english
Notes
Publication types: Journal Article ; Review
Publication Status: epublish
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.
Keywords
biomedical data, data integration, ontology language, ontology-based data access, virtual knowledge graphs
Pubmed
Web of science
Open Access
Yes
Create date
13/10/2021 8:31
Last modification date
12/01/2022 7:12
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