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Biological Ontologies

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SIFR annotator: ontology-based semantic annotation of French biomedical text and clinical notes.

BMC bioinformatics
BACKGROUND: Despite a wide adoption of English in science, a significant amount of biomedical data are produced in other languages, such as French. Yet a majority of natural language processing or semantic tools as well as domain terminologies or ont...

ProvCaRe: Characterizing scientific reproducibility of biomedical research studies using semantic provenance metadata.

International journal of medical informatics
OBJECTIVE: Reproducibility of research studies is key to advancing biomedical science by building on sound results and reducing inconsistencies between published results and study data. We propose that the available data from research studies combine...

Using Compact Coevolutionary Algorithm for Matching Biomedical Ontologies.

Computational intelligence and neuroscience
Over the recent years, ontologies are widely used in various domains such as medical records annotation, medical knowledge representation and sharing, clinical guideline management, and medical decision-making. To implement the cooperation between in...

Ontoserver: a syndicated terminology server.

Journal of biomedical semantics
BACKGROUND: Even though several high-quality clinical terminologies, such as SNOMED CT and LOINC, are readily available, uptake in clinical systems has been slow and many continue to capture information in plain text or using custom terminologies. Th...

Linked open data-based framework for automatic biomedical ontology generation.

BMC bioinformatics
BACKGROUND: Fulfilling the vision of Semantic Web requires an accurate data model for organizing knowledge and sharing common understanding of the domain. Fitting this description, ontologies are the cornerstones of Semantic Web and can be used to so...

Supporting biomedical ontology evolution by identifying outdated concepts and the required type of change.

Journal of biomedical informatics
The consistent evolution of ontologies is a major challenge for systems using semantically enriched data, for example, for annotating, indexing, or reasoning. The biomedical domain is a typical example where ontologies, expressed with different forma...

Using predicate and provenance information from a knowledge graph for drug efficacy screening.

Journal of biomedical semantics
BACKGROUND: Biomedical knowledge graphs have become important tools to computationally analyse the comprehensive body of biomedical knowledge. They represent knowledge as subject-predicate-object triples, in which the predicate indicates the relation...

EEG-Based Automatic Sleep Staging Using Ontology and Weighting Feature Analysis.

Computational and mathematical methods in medicine
Sleep staging is considered as an effective indicator for auxiliary diagnosis of sleep diseases and related psychiatric diseases, so it attracts a lot of attention from sleep researchers. Nevertheless, sleep staging based on visual inspection of trad...

Representing vaccine misinformation using ontologies.

Journal of biomedical semantics
BACKGROUND: In this paper, we discuss the design and development of a formal ontology to describe misinformation about vaccines. Vaccine misinformation is one of the drivers leading to vaccine hesitancy in patients. While there are various levels of ...