A conceptual model for ontology quality assessment

With the continuous advancement of methods, tools, and techniques in ontology development, ontologies have emerged various fields such as machine learning, robotics, biomedical informatics, agricultural crowdsourcing, database management, Internet Things. Nevertheless, nonexistence a universally agreed methodology for specifying evaluating quality an hinders success ontology-based systems each component is required overall system turn impacts usability use. Moreover, number anomalies definitions concepts are visible, addition to that, assessment limited only certain set characteristics practice even though some other significant be considered specified use-case. Thus, this research, comprehensive analysis was performed uncover existing contributions specifically on models, characteristics, associated measures these characteristics. Consequently, identified through review were classified with aspects evaluation space. Furthermore, formalized characteristic provided study from ontological perspective based accepted theories standards. Additionally, thorough extent which works covered presented areas further investigated outlined.