The ever-increasing amount of biomedical data is enabling new large-scale studies, even
though ad hoc computational solutions are required. The most recent Machine Learning …

With the modernization of industry and introduction of IoT, maintenance practices have been
moving from reactive to proactive and predictive approaches. The identification of faults …

In this chapter, we present a survey on various decision support methods that uses ontology
as its tool to provide the reasoning, medical knowledge list, attributes and relationship …

With the advances of Artificial Intelligence, the need for annotated data increases. However,
the quality of these annotations can be impacted by the evolution of domain knowledge …

Communication and cooperation are fundamental for the correct deployment of P5
medicine, and this can be achieved only by correct comprehension of semantics so that it …

Ontologies are becoming a key component of numerous applications and research fields.
But knowledge captured within ontologies is not static. Some ontology updates potentially …

Informal knowledge constantly transitions into formal domain knowledge in the dynamic
knowledge base. This article focuses on an integrative understanding of the knowledge role …

In this paper, we present an architecture for time-constrained ontology evolution comprised
of two tools: the J2OIM (JSON to Ontology Instance Mapper), which uses JavaScript Object …

The Medical Subject Headings (MeSH) thesaurus is a controlled vocabulary widely used in
biomedical knowledge systems. We propose a novel framework, termed MeSHelper, that …

Ontology revision aims to seamlessly incorporate new information into an existing ontology
and plays a crucial role in tasks such as ontology evolution, ontology maintenance, and …