Bio-ontologies are digital frameworks for handling biological and biomedical data. They consist of theoretical entities relations with explicitly defined logical structures precise definitions, whose purpose is to provide a shared language representing information be distributed integrated across diverse scientific contexts. It tempting view bio-ontologies as clear formal expressions community’...

Abstract Semantic embedding of knowledge graphs has been widely studied and used for prediction statistical analysis tasks across various domains such as Natural Language Processing the Web. However, less attention paid to developing robust methods OWL (Web Ontology Language) ontologies, which contain richer semantic information than plain graphs, have adopted in bioinformatics. In this paper, ...

In today's world, artificial intelligence (AI) and machine learning (ML) play a key role in many areas of human activity. However, the complexity insufficient definition relevant models can create problems their efficiency, interpretability management when implementing technologies based on AI ML. That is why it important to use ontological engineering methods improve these models. Ontological ...