Objective Case-based reasoning (CBR) is a problem-solving paradigm that uses past
knowledge to interpret or solve new problems. It is suitable for experience-based and theory …

Abstract Case-Based Reasoning (CBR) is one of the most suitable AI techniques for building
clinical decision support systems. Medical domain complexity introduces many challenges …

Maintenance cases outside the Structural Repair Manual (OSRM) often occur in civil aircraft
structural maintenance (CASM) work. At this time, maintenance personnel needs to learn …

This paper presents a novel information retrieval approach for personalized itinerary search
in urban freight transport systems. The proposed approach is based on the integration of …

Abstract Knowledge-Intensive Case-Based Reasoning Systems (KI-CBR) mainly depend on
ontologies. Ontology can play the role of case-base knowledge. The combination of …

Semantic interoperability of distributed electronic health record (EHR) systems is a crucial
problem for querying EHR and machine learning projects. The main contribution of this …

Fuzzy Ontologies comprise a relatively new knowledge representation paradigm that is
being increasingly applied in application scenarios in which the treatment and utilization of …

Fuzzy ontologies are able to deal with imprecise and vague knowledge using fuzzy sets and
its relations. Ontologies are currently emerging as a powerful knowledge representation …

Розроблено методологію онтологічної підтримки процесів конструктивно-продукційного
моделювання (КПМ) структурно складних інформаційних технологій (ССІТ). Моделі …

Diabetes mellitus is considered as a dangerous chronic disease. Diagnosis is the first step
in its management. Clinical decision support system (CDSS) for diabetes diagnosis …