ArticleJournal of biomedical informatics2015
Summarizing and visualizing structural changes during the evolution of biomedical ontologies using a Diff Abstraction Network.
Article in Journal of biomedical informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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.
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Who cites it
12 citing papers in PubMed.
- Ontologies as the semantic bridge between artificial intelligence and healthcare.Frontiers in digital health · 2025Article
- Big knowledge visualization of the COVID-19 CIDO ontology evolution.BMC medical informatics and decision making · 2023Article
- Assessing the practice of biomedical ontology evaluation: Gaps and opportunities.Journal of biomedical informatics · 2018Review
- Quality assurance of chemical ingredient classification for the National Drug File - Reference Terminology.Journal of biomedical informatics · 2017Article
- An empirical analysis of ontology reuse in BioPortal.Journal of biomedical informatics · 2017Article
- Analyzing structural changes in SNOMED CT's Bacterial infectious diseases using a visual semantic delta.Journal of biomedical informatics · 2017Article
- A unified software framework for deriving, visualizing, and exploring abstraction networks for ontologies.Journal of biomedical informatics · 2016Article
- Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies.Journal of biomedical informatics · 2016Article
- Tracking the Remodeling of SNOMED CT's Bacterial Infectious Diseases.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Evolution of biomedical ontologies and mappings: Overview of recent approaches.Computational and structural biotechnology journal · 2016Review
- Modelling Medications for Public Health Research.Online journal of public health informatics · 2016Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Biomedical ontologies are a critical component in biomedical research and practice. As an ontology evolves, its structure and content change in response to additions, deletions and updates. When editing a biomedical ontology, small local updates may affect large portions of the ontology, leading to unintended and potentially erroneous changes. Such unwanted side effects often go unnoticed since biomedical ontologies are large and complex knowledge structures. Abstraction networks, which provide compact summaries of an ontology's content and structure, have been used to uncover structural irregularities, inconsistencies and errors in ontologies. In this paper, we introduce Diff Abstraction Networks ("Diff AbNs"), compact networks that summarize and visualize global structural changes due to ontology editing operations that result in a new ontology release. A Diff AbN can be used to support curators in identifying unintended and unwanted ontology changes. The derivation of two Diff AbNs, the Diff Area Taxonomy and the Diff Partial-area Taxonomy, is explained and Diff Partial-area Taxonomies are derived and analyzed for the Ontology of Clinical Research, Sleep Domain Ontology, and eagle-i Research Resource Ontology. Diff Taxonomy usage for identifying unintended erroneous consequences of quality assurance and ontology merging are demonstrated.
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What OpenQuestion holds
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.