Evidence map›Paper›PMID 31552293›Full record

ArticleNPJ science of food2019

Global agricultural concept space: lightweight semantics for pragmatic interoperability.

Thomas Baker, Brandon Whitehead, Ruthie Musker, Johannes Keizer

Open access · goldAbstract read
In one paragraph

Article in NPJ science of food, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 11 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Thomas BakerPlain Semantics, Bonn, Germany.ORCID 0000-0003-3741-6977
Brandon Whitehead2CAB International, Wallingford, UK.ORCID 0000-0002-0337-8610
Ruthie Musker2CAB International, Wallingford, UK.ORCID 0000-0003-3480-3031
Johannes KeizerGlobal Open Data for Agriculture and Nutrition (GODAN) Secretariat, Wallingford, UK.
CAB International · GBOpen Data Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progress on research and innovation in food technology depends increasingly on the use of structured vocabularies-concept schemes, thesauri, and ontologies-for discovering and re-using a diversity of data sources. Here, we report on GACS Core, a concept scheme in the larger Global Agricultural Concept Space (GACS), which was formed by mapping between the most frequently used concepts of AGROVOC, CAB Thesaurus, and NAL Thesaurus and serves as a target for mapping near-equivalent concepts from other vocabularies. It provides globally unique identifiers, which can be used as keywords in bibliographic databases, tags for web content, for building lightweight facet schemes, and for annotating spreadsheets, databases, and image metadata using synonyms and variant labels in 25 languages. The minimal semantics of GACS allows terms defined with more precision in ontologies, or less precision in controlled vocabularies, to be linked together making it easier to discover and integrate semantically diverse data sources.

Indexed as

AgricultureDeveloping world

Identifiers

PMID31552293
PMCPMC6751214
OpenAlexW2973539856

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.