AWeb 3.0 ontology based on similarity:a step toward facilitating learning in the Big Data age  

作　　者：Abbas Foroughi Gongjun Yan Hui Shi Dazhi Chong 

机构地区：[1]College of Business,University of Southern Indiana,Evansville,USA [2]Strome College of Business,Old Dominion University,Norfolk,USA

出　　处：《Journal of Management Analytics》2015年第3期216-232,共17页管理分析学报（英文）

摘　　要：Web 3.0 technology will revolutionize the learning process,enabling data linking to connect learning resources and create ontologies for different areas of knowledge that enable‘smart searches.’Smart or semantic searches perceive relationships among various pieces of information and present them to the learner.Connectivism has been proposed as a theory to guide learning in this new Web 3.0 environment.This paper discusses the relevance of connectivism and then develops an ontology for learning resources.The authors propose a hybrid similarity measure to evaluate the similarity among different learning resources.The paper presents a case study that was conducted to evaluate the proposed similarity measure on education data sets and demonstrates the effectiveness of the proposed methods.

关 键 词：Web 3.0 Semantic Web CONNECTIVISM learning theory learning resources ONTOLOGY SIMILARITY business analytics Big Data 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]