Evidence map›Paper›PMID 39841813›Full record

ArticleDatabase : the journal of biological databases and curation2025

A change language for ontologies and knowledge graphs.

Harshad Hegde, Jennifer Vendetti, Damien Goutte-Gattat, J Harry Caufield, John B Graybeal, Nomi L Harris, Naouel Karam, Christian Kindermann, Nicolas Matentzoglu, James A Overton and 2 more

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Large Language Models in Bio-Ontology Research: A Review.Bioengineering (Basel, Switzerland) · 2025
    Review
  4. Article
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

12 authors.

Harshad HegdeEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, One Cyclotron Rd., Berkeley, CA 94720, United States.ORCID 0000-0002-2411-565X
Jennifer VendettiCenter for Biomedical Informatics Research, Stanford University, 3180 Porter Dr., Palo Alto, CA 94304, United States.ORCID 0009-0005-5085-6514
Damien Goutte-GattatDepartment of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3DY, United Kingdom.ORCID 0000-0002-6095-8718
J Harry CaufieldEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, One Cyclotron Rd., Berkeley, CA 94720, United States.ORCID 0000-0001-5705-7831
John B GraybealCenter for Biomedical Informatics Research, Stanford University, 3180 Porter Dr., Palo Alto, CA 94304, United States.ORCID 0000-0001-6875-5360
Nomi L HarrisEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, One Cyclotron Rd., Berkeley, CA 94720, United States.ORCID 0000-0001-6315-3707
Naouel KaramInstitute for Applied Informatics (InfAI), Leipzig University, Goerdelerring 9, Leipzig 04109, Germany.ORCID 0000-0002-6762-6417
Christian KindermannCenter for Biomedical Informatics Research, Stanford University, 3180 Porter Dr., Palo Alto, CA 94304, United States.ORCID 0000-0001-7818-3466
Nicolas MatentzogluSemanticly, Spaces Ermou, Ermou 56, Athens 10563, Greece.ORCID 0000-0002-7356-1779
James A OvertonKnocean Inc., 2 - 107 Quebec Ave., Toronto, Ontario M6P 2T3, Canada.ORCID 0000-0001-5139-5557
Mark A MusenCenter for Biomedical Informatics Research, Stanford University, 3180 Porter Dr., Palo Alto, CA 94304, United States.ORCID 0000-0003-3325-793X
Christopher J MungallEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, One Cyclotron Rd., Berkeley, CA 94720, United States.ORCID 0000-0002-6601-2165

Funding

Gene Ontology Consortium and KnowledgebaseU24HG012212 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHRISTOPHER J MUNGALL, PAUL Warren STERNBERG · 2022 to 2026
$11.6M
BioPortal: An Expansive Knowledgebase of Biomedical Entities and RelationsU24GM143402 · NIGMS · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2021 to 2024
$4.5M
Bosch CorporationNational Science Foundation BB/T014008/1 BBSRC-NSF/BIONHGRI NIH HHS U24 HG012212NIGMS NIH HHS U24 GM143402NIH HHS 5U01HG009453-03 U24 GM143402US Department of Energy DE-AC0205CH11231
6 · The paper itself

Abstract

Ontologies and knowledge graphs (KGs) are general-purpose computable representations of some domain, such as human anatomy, and are frequently a crucial part of modern information systems. Most of these structures change over time, incorporating new knowledge or information that was previously missing. Managing these changes is a challenge, both in terms of communicating changes to users and providing mechanisms to make it easier for multiple stakeholders to contribute. To fill that need, we have created KGCL, the Knowledge Graph Change Language (https://github.com/INCATools/kgcl), a standard data model for describing changes to KGs and ontologies at a high level, and an accompanying human-readable Controlled Natural Language (CNL). This language serves two purposes: a curator can use it to request desired changes, and it can also be used to describe changes that have already happened, corresponding to the concepts of "apply patch" and "diff" commonly used for managing changes in text documents and computer programs. Another key feature of KGCL is that descriptions are at a high enough level to be useful and understood by a variety of stakeholders-e.g. ontology edits can be specified by commands like "add synonym 'arm' to 'forelimb'" or "move 'Parkinson disease' under 'neurodegenerative disease'." We have also built a suite of tools for managing ontology changes. These include an automated agent that integrates with and monitors GitHub ontology repositories and applies any requested changes and a new component in the BioPortal ontology resource that allows users to make change requests directly from within the BioPortal user interface. Overall, the KGCL data model, its CNL, and associated tooling allow for easier management and processing of changes associated with the development of ontologies and KGs. Database URL: https://github.com/INCATools/kgcl.

Indexed as

Biological OntologiesProgramming LanguagesHumans

Identifiers

PMID39841813
PMCPMC11753292

What Socratic 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 Socratic graph.