ReviewJournal of biomedical informatics2018
Assessing the practice of biomedical ontology evaluation: Gaps and opportunities.
Review in Journal of biomedical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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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.
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Who cites it
40 citing papers in PubMed.
- Developing a Specialized Dravet Syndrome Ontology for Rare Disease Informatics and AI Applications.medRxiv : the preprint server for health sciences · 2026Article
- eDEM-CONNECT: agitation ontology for the intelligent support of informal caregivers of people with dementia.Frontiers in aging · 2026Article
- Quantitative analysis of the comprehensiveness and granularity of biomedical terminology systems.Scientific reports · 2025Article
- Ontology-guided machine learning outperforms zero-shot foundation models for cardiac ultrasound text reports.Scientific reports · 2025Article
- A review on Gene Ontology evaluations.Database : the journal of biological databases and curation · 2025Review
- Analyzing Llama 3-based Approach for Axiom Translation from Ontologies.CEUR workshop proceedings · 2024Article
- Special supplement issue on quality assurance and enrichment of biological and biomedical ontologies and terminologies.BMC medical informatics and decision making · 2024Article
- Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application.BMC medical informatics and decision making · 2024Article
- An open source knowledge graph ecosystem for the life sciences.Scientific data · 2024Article
- Developing an ontology of non-pharmacological treatment for emotional and mood disturbances in dementia.Scientific reports · 2024Article
- An ontological framework for organising and describing behaviours: The Human Behaviour Ontology.Wellcome open research · 2024Article
- Identifying Missing IS-A Relations in SNOMED CT with Fine-Tuned Pre-trained Language Models and Non-lattice Subgraphs.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Concept Coverage Analysis of Ophthalmic Infections and Trauma among the Standardized Medical Terminologies SNOMED-CT, ICD-10-CM, and ICD-11.Ophthalmology science · 2023Article
- Comprehensive Ontology of Fibroproliferative Diseases: Protocol for a Semantic Technology Study.JMIR research protocols · 2023Article
- Enriching Real-world Data with Social Determinants of Health for Health Outcomes and Health Equity: Successes, Challenges, and Opportunities.Yearbook of medical informatics · 2023Article
- Ontologizing health systems data at scale: making translational discovery a reality.NPJ digital medicine · 2023Article
- An ontology-driven framework for knowledge representation of digital extortion attacks.Computers in human behavior · 2023Article
- A health terminological system for inherited retinal diseases: Content coverage evaluation and a proposed classification.PloS one · 2023Review
- An ontology of mechanisms of action in behaviour change interventions.Wellcome open research · 2023Article
- A substring replacement approach for identifying missing IS-A relations in SNOMED CT.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2022Article
Corrections and comments
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Authors and funding
5 authors.
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Abstract
With the proliferation of heterogeneous health care data in the last three decades, biomedical ontologies and controlled biomedical terminologies play a more and more important role in knowledge representation and management, data integration, natural language processing, as well as decision support for health information systems and biomedical research. Biomedical ontologies and controlled terminologies are intended to assure interoperability. Nevertheless, the quality of biomedical ontologies has hindered their applicability and subsequent adoption in real-world applications. Ontology evaluation is an integral part of ontology development and maintenance. In the biomedicine domain, ontology evaluation is often conducted by third parties as a quality assurance (or auditing) effort that focuses on identifying modeling errors and inconsistencies. In this work, we first organized four categorical schemes of ontology evaluation methods in the existing literature to create an integrated taxonomy. Further, to understand the ontology evaluation practice in the biomedicine domain, we reviewed a sample of 200 ontologies from the National Center for Biomedical Ontology (NCBO) BioPortal-the largest repository for biomedical ontologies-and observed that only 15 of these ontologies have documented evaluation in their corresponding inception papers. We then surveyed the recent quality assurance approaches for biomedical ontologies and their use. We also mapped these quality assurance approaches to the ontology evaluation criteria. It is our anticipation that ontology evaluation and quality assurance approaches will be more widely adopted in the development life cycle of biomedical ontologies.
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Registered trials
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.