The number of applications being developed that require access to knowledge about the
real world has increased rapidly over the past two decades. Domain ontologies, which …

Highlights•Ontology mapping enables data analytics through interoperability and
integration.•Mapping between ontologies expands coverage across large domains such as …

To enhance phenotype recognition in clinical notes of genetic diseases, we developed two
models—PhenoBCBERT and PhenoGPT—for expanding the vocabularies of Human …

Abstract Genomic Knowledgebase (GenomicKB) is a graph database for researchers to
explore and investigate human genome, epigenome, transcriptome, and 4D nucleome with …

Many vocabularies and ontologies are produced to represent and annotate agronomic data.
However, those ontologies are spread out, in different formats, of different size, with different …

Background Knowledge is often produced from data generated in scientific investigations.
An ever-growing number of scientific studies in several domains result into a massive …

Biomedical Relation Extraction (RE) systems identify and classify relations between
biomedical entities to enhance our knowledge of biological and medical processes. Most …

In the last decade, ontologies have become widely adopted in a variety of fields ranging
from biomedicine, to finance, engineering, law, and cultural heritage. The ontology …

There is an explosion in the number of ontologies and semantic artefacts being produced in
science. This paper discusses the need for common platforms to receive, host, serve, align …

Conventional Artificial Intelligence models are heavily limited in handling complex
biomedical structures (such as 2D or 3D protein and molecule structures) and providing …