Evidence map›Paper›PMID 39063930›Full record

ArticleJournal of personalized medicine2024

Transforming Ontology Web Language Elements into Common Terminology Service 2 Terminology Resources.

Sara Mora, Roberta Gazzarata, Bernd Blobel, Ylenia Murgia, Mauro Giacomini

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Sara MoraUO Information and Communication Technologies, Istituto di Ricovero e Cura a Carattere Scientifico Ospedale Policlinico San Martino, 16132 Genoa, Italy.ORCID 0000-0002-0613-3248
Roberta GazzarataHealthropy Società a Responsabilità Limitata (S.R.L.), 17100 Savona, Italy.ORCID 0000-0002-7778-7601
Bernd BlobelMedical Faculty, University of Regensburg, 93053 Regensburg, Germany.
Ylenia MurgiaDepartment of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genoa, 16145 Genova, Italy.
Mauro GiacominiDepartment of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genoa, 16145 Genova, Italy.ORCID 0000-0001-5646-2034

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Communication and cooperation are fundamental for the correct deployment of P5 medicine, and this can be achieved only by correct comprehension of semantics so that it can aspire to medical knowledge sharing. There is a hierarchy in the operations that need to be performed to achieve this goal that brings to the forefront the complete understanding of the real-world business system by domain experts using Domain Ontologies, and only in the last instance acknowledges the specific transformation at the pure information and communication technology level. A specific feature that should be maintained during such types of transformations is versioning that aims to record the evolution of meanings in time as well as the management of their historical evolution. The main tool used to represent ontology in computing environments is the Ontology Web Language (OWL), but it was not created for managing the evolution of meanings in time. Therefore, we tried, in this paper, to find a way to use the specific features of Common Terminology Service-Release 2 (CTS2) to perform consistent and validated transformations of ontologies written in OWL. The specific use case managed in the paper is the Alzheimer's Disease Ontology (ADO). We were able to consider all of the elements of ADO and map them with CTS2 terminological resources, except for a subset of elements such as the equivalent class derived from restrictions on other classes.

Indexed as

biomedical fieldCTS2ontologysemantic interoperabilityterminology resources

Identifiers

PMID39063930
PMCPMC11277904

What OpenQuestion holds

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LicenceCC BY
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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.