Towards fuzzy domain ontology based concept map generation for E-Learning

Authors:
Raymond Y. K. Lau;Albert Y. K. Chung;Dawei Song;Qiang Huang
Affiliations:
Department of Information Systems, City University of Hong Kong, Kowloon, Hong Kong;Department of Information Systems, City University of Hong Kong, Kowloon, Hong Kong;Knowledge Media Institute, The Open University, Milton Keynes, United Kingdom;Knowledge Media Institute, The Open University, Milton Keynes, United Kingdom
Venue:
ICWL'07 Proceedings of the 6th international conference on Advances in web based learning
Year:
2007

Citing 12
Cited 3

A translation approach to portable ontology specifications

Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Critical success factors for on-line course resources

Computers & Education
Introduction to Modern Information Retrieval

Introduction to Modern Information Retrieval
Ontology Learning and Its Application to Automated Terminology Translation

IEEE Intelligent Systems
Extraction and representation of contextual information for knowledge discovery in texts

Information Sciences—Informatics and Computer Science: An International Journal
Automatic learning for semantic collocation

ANLC '92 Proceedings of the third conference on Applied natural language processing
Context-sensitive text mining and belief revision for intelligent information retrieval on the web

Web Intelligence and Agent Systems
Taxonomy generation for text segments: A practical web-based approach

ACM Transactions on Information Systems (TOIS)
Automatic Fuzzy Ontology Generation for Semantic Web

IEEE Transactions on Knowledge and Data Engineering
Learning concept hierarchies from text corpora using formal concept analysis

Journal of Artificial Intelligence Research
Formal concept analysis as mathematical theory of concepts and concept hierarchies

Formal Concept Analysis
A fuzzy ontology and its application to news summarization

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Educational data mining: a review of the state of the art

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
RSS-based e-learning recommendations exploiting fuzzy FCA for Knowledge Modeling

Applied Soft Computing
A system for knowledge discovery in e-learning environments within the European Higher Education Area - Application to student data from Open University of Madrid, UDIMA

Computers & Education

Quantified Score

Hi-index	0.00

Visualization

Abstract

With the wide spread applications of E-Learning technologies to education at all levels, increasing number of online educational resources and messages are generated from these E-Learning environments. Accordingly, instructors are often overwhelmed by the huge number of messages created by students through online discussion boards. It is quite difficult, if not totally impossible, for instructors to read through and analyze these messages to understand the progress of their students on the fly. As a result, adaptive classroom teaching is handicapped. The main contribution of this paper is the illustration of a novel concept map generation mechanism which is underpinned by a fuzzy domain ontology discovery algorithm. The proposed mechanism can automatically construct a concept map based on the messages posted to an online discussion board. Our initial experimental results reveal that the accuracy and the quality of the automatically generated concept maps are promising. Our research work opens the door to the development and application of intelligent software tools to enhance E-Learning.