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Full Record Details
Persistent URL
http://purl.org/net/epubs/work/53762001
Record Status
Checked
Record Id
53762001
Title
Vocabularies, taxonomies and serialisation for linked data
Contributors
Dr N Vizcaino (STFC Rutherford Appleton Lab.) (Pr.Au.)
Abstract
Semantic linked data as an alternative to types in for complex scientific metadata in Software Engineering. RDF-model and graphs. The semantic spectrum. Vocabularies, taxonomies, ontologies, etc. JSON-LD as the foundation of other international standards. JSON-LD serialisation and technical basics practice with online tools. Practical exercises from the ground up. FAIR by design. How to create DCAT datasets in JSON-LD step by step (with examples). Good practices.
Organisation
STFC
,
SCI-COMP
,
SCI-COMP-DST
Keywords
semantic
,
metadata
,
knowledge representation
,
AI
,
software engineering
,
FAIR
Funding Information
H2020
, The Digital Open Marketplace Ecosystem (DOME) 4.0 (953163)
Related Research Object(s):
Licence Information:
Creative Commons Attribution 4.0 International (CC BY 4.0)
Language
English (EN)
Type
Details
URI(s)
Local file(s)
Year
Presentation
Presented at DOME 4.0 Industrial Engagement Open Day and Hackathon, Bologna, Italy, 17-19 Jan 2023.
presentation1-JSON-LD.zip
2023
Showing record 1 of 1
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