Ontology learning for semantic web services
Semantic Web Services promise automatic service discovery and composition, relying heavily on domain ontology as a core component. With large Web Service repository, manual ontology development is proving a bottleneck (with associated expense and likely ...
Lycett, M +5 more
core
The Evaluation of Ontology Matching versus Text [PDF]
Lately, the ontologies have become more and more complex, and they are used in different domains. Some of the ontologies are domain independent; some are specific to a domain.
Andreea-Diana MIHIS
core
Reflections on the use of LLMs for cell annotation. [PDF]
Ray PP.
europepmc +1 more source
CistromeMeta: a large language model powered tool for automated ChIP-seq metadata extraction. [PDF]
Piccaro N, Brown M, Meyer C.
europepmc +1 more source
Towards a benchmark for instance matching
In the general field of knowledge interoperability and ontology matching, instance matching is a crucial task for several applications, from identity recognition to data integration.
S. Montanelli +3 more
core
Utilizing Large Language Models for Zero-Shot Medical Ontology Extension from Clinical Notes. [PDF]
Wu G +6 more
europepmc +1 more source
The Open Syndrome Definition as a Machine-Readable Standard for Public Health: Design and Implementation Study. [PDF]
Ferreira APG +8 more
europepmc +1 more source
RareCure: An Open-Source Artificial Intelligence Pipeline for Context-Adaptive Treatment Discovery in Rare Solid Tumors. [PDF]
Arogyasami D.
europepmc +1 more source
molIEreVIS: exploring and interpreting the evidence behind drug repurposing predictions. [PDF]
Alnouri A +7 more
europepmc +1 more source
A semantic FAIRness framework for epidemiological analysis of COVID-19 data in the UAE. [PDF]
Al Sabbah H +3 more
europepmc +1 more source

