Scientific knowledge graph and ontologies engineering

Vyacheslav Tykhonov

doi:10.5281/zenodo.14622694

Scientific knowledge graph and ontologies engineering

Vyacheslav Tykhonov

DANS-KNAW

Research output: Other contribution › Scientific

Abstract

Brief introduction to knowledge graphs and Linked Data pipeline engineering. Knowledge graphs are powerful tools for representing and connecting data through relationships, enabling richer insights and better data integration. Linked Data pipelines facilitate the seamless flow of structured data across different systems and platforms, adhering to standards such as RDF (Resource Description Framework) and SPARQL for querying.

Original language	English
Type	Presentation
Publisher	Zenodo
Number of pages	25
DOIs	https://doi.org/10.5281/zenodo.14622694
Publication status	Published - 28 Nov 2024

Keywords

knowledge graph
Linked data
Ontologies

Access to Document

10.5281/zenodo.14622694Licence: CC BY

Scientific knowledge graph and ontologies engineering
Vyacheslav Tykhonov (Speaker)
28 Nov 2024
Activity: Talk or presentation › Academic

Cite this

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AB - Brief introduction to knowledge graphs and Linked Data pipeline engineering. Knowledge graphs are powerful tools for representing and connecting data through relationships, enabling richer insights and better data integration. Linked Data pipelines facilitate the seamless flow of structured data across different systems and platforms, adhering to standards such as RDF (Resource Description Framework) and SPARQL for querying.

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Scientific knowledge graph and ontologies engineering

Abstract

Keywords

Access to Document

Activities

Scientific knowledge graph and ontologies engineering

Cite this