Converging on mutual harmony of knowledge-based expert system and technology consultant

Abstract

In the Society 5.0, the adoption of advanced technologies in many fields has large positive impacts on the way people think and behave as well as how the companies provide services for any other businesses. In adopting new technology, however, the businesses require significant efforts and deep insights on how to implement such technology that offers large benefits for their businesses. This attempt is typically in line with the one conducted by many consulting firms which provide solution services on how the new innovation and technologies can be implemented and aligned with business goals. With regards to that, this paper focuses on the implementation of a knowledge-based expert system as a technology consultant to recommend suitable technological solutions in supporting the existing teaching and learning activities at educational institutions. A number of tasks have been executed in the research in order to build a reliable expert system, such as properly using design knowledge ontology, formulating if-then rules and reasoning, expert system structure and user interface, and so forth. The resulting knowledge-based expert system demonstrates promising performance and permits to its integration with machine learning techniques for automated knowledge acquisition. This knowledge-based expert system can be a mutual supports in harmony to the human consultants on providing their technology consultancy services.