Analytic Hierarchy Process and Zhou-Yi Tagging Method for Knowledge Map Navigation
Map navigation is a way of organizing the worlds information geographically. Knowledge maps are used to visualize a set of related information. To solve problems of knowledge sharing and knowledge reusing in engineering domain, this paper propose a knowledge map navigation which is based on functional ontology and Zhou-Yi clustering. Our new approach of fuzzy clustering is implemented by Analytic Hierarchy Process (AHP) , Grounded Theory and Zhou-Yi tagging. It easily allows users to intuitively capture difference among sameness and sameness among difference on knowledge domain. At last, a case study on contest robot is applied to demonstrate the proposed model can promote the information searching more efficiently.
Knowledge Map Functional Ontology Analytic Hierarchy Process (AHP) Zhou-Yi Model Fuzzy Clustering Contest Robot
Chao-Chi Chan Shuen-Ren Yu
National Taiwan University of Science and Technology,Taipei,Taiwan
国际会议
厦门
英文
1652-1656
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）