Ontologies have gotten a lot of interest as a knowledge representation approach in recent
years. However, constructing an ontology manually can be a difficult task. The alternative …

This paper describes a method and technology for processing natural language texts and
extracting data from the text that correspond to the semantics of an ontological model. The …

Ontologies provide a powerful method for representing, reusing, and sharing domain
knowledge. They are extensively used in a wide range of disciplines, including artificial …

Semantic data integration provides the ability to interrelate and analyze information from
multiple heterogeneous resources. With the growing complexity of medical ontologies and …

Social Determinants of Health (SDOH) are societal factors, such as where a person was
born, grew up, works, lives, etc., along with socio-economic and community factors that affect …

Knowledge base construction (KBC) using AI has been one of the key goals of this highly
popular technology since its emergence, as it helps to comprehend everything, including …

A new technique and its software implementation are presented to create a deeply
semantically structured ontology using plain natural language text as input, without regular …

Cognitive Computing (COC) aims to build highly cognitive machines with low computational
resources that respond in real-time. However, scholarly literature shows varying research …

The improvement of search engines for geospatial data on the World Wide Web has been a
subject of research, particularly concerning the challenges in discovering and utilizing …

Natural language processing (NLP) is one of the most energizing topics in artificial
intelligence (AI), and it has already spawned technologies such as voice assistants …