Ontologies have long been employed in the life sciences to formally represent and reason
over domain knowledge and they are employed in almost every major biological database …

Human similarity and relatedness judgements between concepts underlie most of cognitive
capabilities, such as categorisation, memory, decision-making and reasoning. For this …

Artificial Intelligence federates numerous scientific fields in the aim of develo** machines
able to assist human operators performing complex treatments---most of which demand high …

Ontologies are widely used in biological and biomedical research. Their success lies in their
combination of four main features present in almost all ontologies: provision of standard …

Gene Ontology (GO) enrichment analysis is ubiquitously used for interpreting high
throughput molecular data and generating hypotheses about underlying biological …

Ontologies are widely adopted in the biomedical domain to characterize various resources
(eg diseases, drugs, scientific publications) with non-ambiguous meanings. By exploiting the …

Abstract Measuring Semantic Textual Similarity (STS), between words/terms, sentences,
paragraph and document plays an important role in computer science and computational …

Viruses mimic host short linear motifs (SLiMs) to hijack and deregulate cellular functions.
Studies of motif-mediated interactions therefore provide insight into virus-host …

MicroRNAs play critical roles in many physiological processes. Their dysregulations are also
closely related to the development and progression of various human diseases, including …

Gene Ontology (GO) semantic similarity tools enable retrieval of semantic similarity scores,
which incorporate biological knowledge embedded in the GO structure for comparing or …