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 …

A review of data mining ontologies | Emerald Insight Books and journals Case studies Expert
Briefings Open Access Publish with us Advanced search A review of data mining ontologies …

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 …

Abstract O'FAIRe, the Ontology FAIRness Evaluator, is a methodology to automatically
assess to which level a semantic resource or ontology respects the FAIR Principles. This …

In open science, the expression “FAIRness assessment” refers to evaluating to which
degree a digital object is Findable, Accessible, Interoperable, and Reusable. Standard …

Since the boom of biomedical big data studies, various big data processing technologies
have been developed rapidly. As an important form of knowledge representation, ontology …

We have not yet seen a clear methodology implemented and tooled to automatically assess
the level of FAIRness of semantic resources. We propose a metadata-based automatic …

Objectives: Existing individual-level human data cover large populations on many
dimensions such as lifestyle, demography, laboratory measures, clinical parameters, etc …

Ecological semantic resources are being increasingly required by researchers. To improve
their FAIRness, LifeWatch ERIC launched a repository to collect, describe, display, manage …

Semantic technologies aim to represent information or models in formats that are not just
machine-readable but also machine-understandable. To this effect, this paper shows how …