KNOWLEDGE REPRESENTATION OF IIOT ENABLED MANUFACTURING SYSTEM USING ONTOLOGY: BIBLIOMETRIC ANALYSIS AND FRAMEWORK
DOI:
https://doi.org/10.62373/fdt0ag59Keywords:
ONTOLOGY, Knowledge Representation, Knowledge Graphs, SEMANTIC WEB, ONTOLOGY ENGINEERINGAbstract
Knowledge representation has been considered the backbone of artificial intelligence. Ontology methods for knowledge representation have been found to be extremely beneficial for the field of artificial intelligence. The ontology method itself affirms the applicability of the method in the case of the representation of domain knowledge. While considering knowledge representation with the help of the ontology method, a literate survey has to be fully mentioned. This literature survey was mentioned in the paper with help of the “use of ontology models and knowledge graph models”. It recognizes the general methodologies used, i.e., knowledge acquisition, concept extraction, ontology development, ontology integration, and evalution of the ontology. Except for that, the system recognizes some of the areas not properly handled by the research, such as the automation of ontologies, the interoperability of the ontology, the evolution of the ontology, and the future of the research, e.g., the learning of ontologies by AI. Conclusively, the representation of knowledge in conformity with the utilization of the ontologies ensures that semantic interoperation, reasoning, and shareability of the knowledge is carried out in an interoperable mode, a necessity for the development of state-of-the-art knowledge-based applications.
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