With the rapid development of smart cities, various types of sensors can rapidly collect a
large amount of data, and it becomes increasingly important to discover effective knowledge …

A real-life hierarchical classification system is developed to automatically extract a domain
ontology from repair data collected during the warranty period of an original equipment …

Abstract Knowledge Graph (KG) is a graph-based data structure that can display the
relationship between a large number of semi-structured and unstructured data, and can …

The explosive growth in the scale of satellite networks poses challenges in spectrum
resource allocation, and forms an urgent demand for intelligent spectrum management …

Automated ontology population is intended to enrich ontologies. The main entities of an
ontological model are classes, subclasses, attributes (datatype properties), relationships …

This article is devoted to the tasks of automating the construction of domain ontologies. In
the beginning, the limitations and problems of constructing the ontology of the domain using …

Abstract Information and resources available on the Web are growing increasingly and web
users need to have a common understanding of them. The Semantic Web whose most …

This paper aims to analyze and adopt the term clustering method for building a modular
ontology according to its core ontology. The acquisition of semantic knowledge focuses on …

Ontologies are being used to organize information in many domains like artificial
intelligence, information science, semantic web, library science. Ontologies of an entity …

Future production environments must be flexible and reconfigurable. To achieve this, the
devices and services to fulfill the different steps of a production order (PO) should not be …