Apply fuzzy ontology and FML to knowledge extraction for university governance and management

Abstract

The Higher Education Evaluation and Accreditation Council of Taiwan (HEEACT) supported by the Taiwan government has annually executed universities’ assessment process similar to the one in the United States since 2005. The HEEACT holds numerous assessment workshops and develops many basic standards to encourage each university to set its educational goals, measure the success in achieving these goals, ask some tough questions for the university, and meet these questions’ requirements to continuous improvement in the university. In this paper, we apply the fuzzy ontology and fuzzy markup language (FML) to perform the knowledge extraction for university governance and management, and adopt National University of Tainan (NUTN), Taiwan, as an example to construct the FML-based fuzzy ontology for knowledge management. In addition, the FML-based knowledge management system which processes a simulation for NUTN self-assessment and forecasts whether NUTN passes the 2011 HEEACT university assessment or not is also presented in this paper. Finally, NUTN fully passed 2011 university assessment in Taiwan and the results of our simulations are similar to the opinions of the HEEACT reviewers. It shows that the proposed fuzzy ontology and FML-based knowledge management system can work effectively for university governance and management.