Evidence map›Paper›PMID 38808327›Full record

ArticleCEUR workshop proceedings.2023

An Extendible Realism-Based Ontology for Kinship.

Michael Rabenberg, Anuwat Pengput, Werner Ceusters

Abstract read
In one paragraph

Article in CEUR workshop proceedings., 2023. 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
–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

0 citing papers in PubMed.

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

3 authors.

Michael RabenbergUniversity at Buffalo, 77 Goodell Street, Buffalo NY, 14203, USA.ORCID 0000-0001-9004-5322
Anuwat PengputUniversity at Buffalo, 77 Goodell Street, Buffalo NY, 14203, USA.ORCID 0000-0002-0273-1531
Werner CeustersUniversity at Buffalo, 77 Goodell Street, Buffalo NY, 14203, USA.ORCID 0000-0002-2676-8689

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
National Library of Medicine Conference 2022T15LM012495 · NLM · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI PETER L. ELKIN · 2017 to 2026
$4.3M
Buffalo Research Innovation in Genomic and Healthcare Technology (BRIGHT) Short-Term Training and EducationR25LM014213 · NLM · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI PETER L. ELKIN, RAM SAMUDRALA · 2022 to 2026
$668k
NCATS NIH HHS UL1 TR001412NLM NIH HHS R25 LM014213NLM NIH HHS T15 LM012495
6 · The paper itself

Abstract

Adequately representing kinship relations is crucial for a variety of medical and biomedical applications. Several kinship ontologies have been proposed but none of them have been designed thus far in line with the Basic Formal Ontology. In this paper, we propose a novel kinship ontology that exhibits the following characteristics: (1) it is fully axiomatized in First Order Logic following the rules governing predicate formation as proposed in BFO2020-FOL, (2) it is modularized in 6 separate files written in the Common Logic Interface Format (CLIF) each one of which can be imported based on specific needs, (3) it provides bridging axioms to and from SNOMED CT, and (4) it contains an extra module with axioms which would not be literally true when phrased naively but are crafted in such a way that they highlight the unusual kinship relations they represent and can be used to generate alerts on possible data entry mistakes. We describe design considerations and challenges encountered.

Indexed as

BFO2020Kinship ontologySNOMED CT

Identifiers

PMID38808327
PMCPMC11131162

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Registered trials

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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.