OntoUML and OWL are ontology languages appropriated to different knowledge representation levels. In order to have better knowledge representation and reasoning capabilities in OWL ontologies, an Ontology Engineering should be used – which corresponds to the transformation of a conceptual model ontology language, such as OntoUML, to a computational ontology language, such as OWL. This paper aim...

As an important data structure model, ontology has become one of the core contents in information science. Multi-dividing ontology algorithm combines the advantages of graph structure and learning algorithms proved to have high efficiency. In this paper, in terms of multi-dividing proper loss functions, we propose new multi-dividing ontology learning algorithms for similarity measure and ontolo...

The development and verification of software models that are applicable across multiple domains remains a difficult problem. We propose a novel approach to model-driven software development based on ontologies and Semantic Web technology. Our approach uses three ontologies to define software models: a task ontology, a domain ontology and a top-level ontology. The task ontology serves as the con...

Current emergency logistics strongly features geographical scatter, collaborative work and time priority. Although some models have been designed for application in emergency logistics, the knowledge heterogeneity in that field is still a major obstacle to intelligent cooperation. This study aims at applying ontology-based modeling approach to clearly represent the emergency logistics knowledge...