The human disease ontology 2022 update

LM Schriml, JB Munro, M Schor, D Olley… - Nucleic acids …, 2022 - academic.oup.com
Abstract The Human Disease Ontology (DO)(www. disease-ontology. org) database, has
significantly expanded the disease content and enhanced our userbase and website since …

The behaviour change technique ontology: transforming the behaviour change technique taxonomy v1

MM Marques, AJ Wright, E Corker… - Wellcome Open …, 2024 - pmc.ncbi.nlm.nih.gov
Background The Behaviour Change Technique Taxonomy v1 (BCTTv1) specifies the
potentially active content of behaviour change interventions. Evaluation of BCTTv1 showed …

Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning

JH Caufield, H Hegde, V Emonet, NL Harris… - …, 2024 - academic.oup.com
Motivation Creating knowledge bases and ontologies is a time consuming task that relies on
manual curation. AI/NLP approaches can assist expert curators in populating these …

OBO Foundry in 2021: operationalizing open data principles to evaluate ontologies

R Jackson, N Matentzoglu, JA Overton, R Vita… - Database, 2021 - academic.oup.com
Biological ontologies are used to organize, curate and interpret the vast quantities of data
arising from biological experiments. While this works well when using a single ontology …

[HTML][HTML] Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis

M Booshehri, L Emele, S Flügel, H Förster, J Frey… - Energy and AI, 2021 - Elsevier
Heterogeneous data, different definitions and incompatible models are a huge problem in
many domains, with no exception for the field of energy systems analysis. Hence, it is hard to …

Dynamic retrieval augmented generation of ontologies using artificial intelligence (DRAGON-AI)

S Toro, AV Anagnostopoulos, SM Bello… - Journal of Biomedical …, 2024 - Springer
Background Ontologies are fundamental components of informatics infrastructure in
domains such as biomedical, environmental, and food sciences, representing consensus …

Delivering behaviour change interventions: development of a mode of delivery ontology

MM Marques, RN Carey, E Norris… - Wellcome open …, 2021 - pmc.ncbi.nlm.nih.gov
Background: Investigating and improving the effects of behaviour change interventions
requires detailed and consistent specification of all aspects of interventions. An important …

[PDF][PDF] A systematic literature review of automatic ontology construction

ZZ Zulkipli, R Maskat, NHI Teo - Indones. J. Electr. Eng. Comput. Sci, 2022 - academia.edu
Ontologies have gotten a lot of interest as a knowledge representation approach in recent
years. However, constructing an ontology manually can be a difficult task. The alternative …

DeepOnto: A Python package for ontology engineering with deep learning

Y He, J Chen, H Dong, I Horrocks, C Allocca… - Semantic …, 2024 - journals.sagepub.com
Integrating deep learning techniques, particularly language models (LMs), with knowledge
representation techniques like ontologies has raised widespread attention, urging the need …

Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies

N Matentzoglu, D Goutte-Gattat, SZK Tan, JP Balhoff… - Database, 2022 - academic.oup.com
Similar to managing software packages, managing the ontology life cycle involves multiple
complex workflows such as preparing releases, continuous quality control checking and …