ArticleBMC bioinformatics2015
Aber-OWL: a framework for ontology-based data access in biology.
Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Representing dental caries and dysbiosis within the oral microbiome in the Oral Health and Disease Ontology.Journal of biomedical semantics · 2026Article
- Representing dental restoration materials in the oral health and disease ontology.Journal of biomedical semantics · 2026Article
- The Ontology of Adverse Events in 2025.Scientific data · 2026Article
- Representing Dental Caries and Dysbiosis within the Oral Microbiome in the Oral Health and Disease Ontology.Research square · 2025Article
- BioPortal: an open community resource for sharing, searching, and utilizing biomedical ontologies.Nucleic acids research · 2025Article
- Current state of data stewardship tools in life science.Frontiers in big data · 2024Review
- Challenges to sharing sample metadata in computational genomics.Frontiers in genetics · 2023Article
- Unifying the identification of biomedical entities with the Bioregistry.Scientific data · 2022Article
- Linking big biomedical datasets to modular analysis with Portable Encapsulated Projects.GigaScience · 2021Article
- Improved characterisation of clinical text through ontology-based vocabulary expansion.Journal of biomedical semantics · 2021Article
- SIENA: Semi-automatic semantic enhancement of datasets using concept recognition.Journal of biomedical semantics · 2021Article
- DDIEM: drug database for inborn errors of metabolism.Orphanet journal of rare diseases · 2020Article
- Formal axioms in biomedical ontologies improve analysis and interpretation of associated data.Bioinformatics (Oxford, England) · 2020Article
- DES-ROD: Exploring Literature to Develop New Links between RNA Oxidation and Human Diseases.Oxidative medicine and cellular longevity · 2020Article
- BioHackathon 2015: Semantics of data for life sciences and reproducible research.F1000Research · 2020Article
- Thalia: semantic search engine for biomedical abstracts.Bioinformatics (Oxford, England) · 2019Article
- Literature-Based Enrichment Insights into Redox Control of Vascular Biology.Oxidative medicine and cellular longevity · 2019Review
- SIFR annotator: ontology-based semantic annotation of French biomedical text and clinical notes.BMC bioinformatics · 2018Article
- OligoPVP: Phenotype-driven analysis of individual genomic information to prioritize oligogenic disease variants.Scientific reports · 2018Article
- Building IoT based applications for Smart Cities: How can ontology catalogs help?IEEE internet of things journal · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMany ontologies have been developed in biology and these ontologies increasingly contain large volumes of formalized knowledge commonly expressed in the Web Ontology Language (OWL). Computational access to the knowledge contained within these ontologies relies on the use of automated reasoning.
resultsWe have developed the Aber-OWL infrastructure that provides reasoning services for bio-ontologies. Aber-OWL consists of an ontology repository, a set of web services and web interfaces that enable ontology-based semantic access to biological data and literature. Aber-OWL is freely available at http://aber-owl.net .
conclusionsAber-OWL provides a framework for automatically accessing information that is annotated with ontologies or contains terms used to label classes in ontologies. When using Aber-OWL, access to ontologies and data annotated with them is not merely based on class names or identifiers but rather on the knowledge the ontologies contain and the inferences that can be drawn from it.
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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.