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Other literature type . 2023
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Presentation . 2023
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2023
License: CC BY
Data sources: Datacite
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Profiling data exchange standards using vocabularies

Authors: Atkinson, Rob; Simonis, Ingo; Cox, Simon; Villar, Alejandro; Andrews, Henry;

Profiling data exchange standards using vocabularies

Abstract

This presentation will demonstrate techniques for declaring and exploiting the use of controlled vocabularies using JSON schemas for data exchange, in applications such as the OGC API-Features service interface (and any other OpenAPI implementations.) The approach takes a modular approach with tools to support composition to match reused schema elements to reusable JSON-LD contexts, allowing implementations to simplify profiling by adding additional constraints, such as vocabulary usage, to specific sub-elements of an overall application schema. The approach uses open source tools based on the "OGC Building Blocks" model - part of the full-spectrum interoperability resource now known as the OGC Rainbow.AcknowledgementsThe Institute of Research is supported by the Australian Government through the NationalCollaborative Research Infrastructure Strategy, NCRIS.References1. OGC Building Blocks2. OGC Rainbow

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Keywords

Terminologies, Semantic, Vocabularies

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    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average