This chapter gives an educational overview of: * The difference between informal and formal ontologies * The primary objectives of ontology design, re-use, extensibility, and interoperability * How formal ontologies can be used to map terminologies and classification systems * How formal ontologies improve semantic interoperability * The relationship between a well-formed ontology and the development of intelligent decision support.
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Wellcome Open Res
November 2024
Centre for Behaviour Change, University College London, London, England, UK.
Background: Research about anxiety, depression and psychosis and their treatments is often reported using inconsistent language, and different aspects of the overall research may be conducted in separate silos. This leads to challenges in evidence synthesis and slows down the development of more effective interventions to prevent and treat these conditions. To address these challenges, the Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis (GALENOS) Project is conducting a series of living systematic reviews about anxiety, depression and psychosis.
View Article and Find Full Text PDFEnviron Pollut
January 2025
Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China. Electronic address:
Alzheimer's disease (AD) is a neurodegenerative disease, that accounts for 50-75% of all dementia cases. Evidence demonstrates the link between particulate matter (PM) exposure and AD. However, there are still considerable research gaps.
View Article and Find Full Text PDFForm Ontol Inf Syst
January 2024
University at Buffalo, 77 Goodell Street, Buffalo, NY 14203, USA.
The Basic Formal Ontology (BFO) class and its subclasses, including , are not heavily axiomatized; they have elucidations, not definitions; and the meanings of these elucidations are poorly captured by the relevant BFO axioms. This paper is an effort to make progress in these respects for . We identify a range of desiderata for a BFO-conformant view of , argue that the GitHub does not satisfy them, argue that the view of fiat surfaces in Arp et al.
View Article and Find Full Text PDFBackground: While unstructured data, such as free text, constitutes a large amount of publicly available biomedical data, it is underutilized in automated analyses due to the difficulty of extracting meaning from it. Normalizing free-text data, , removing inessential variance, enables the use of structured vocabularies like ontologies to represent the data and allow for harmonized queries over it. This paper presents an adaptable tool for free-text normalization and an evaluation of the application of this tool to two different sets of unstructured biomedical data curated from the literature in the Immune Epitope Database (IEDB): age and data-location.
View Article and Find Full Text PDFFound Phys
November 2024
Istituto di Studi Filosofici, Lugano (CH), Switzerland.
Of the many ways of getting at the core of the weirdnesses in quantum mechanics, there's one which traces back to Schrödinger's seminal 1935 paper, and has to do with the apparent nature of the reality described by the formalism through the wavefunction . This issue, which I will be calling the , is distinct from the standard measurement problem of quantum mechanics, despite Schrödinger himself ends up conflating the two. I will argue that the is an exquisitely philosophical problem, for as it is standard when facing any phenomenon which appears to have indeterminate or fuzzy characteristics, the solutions available are to either blame the deficiencies of our language, or our lack of knowledge, or to blame the world itself.
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