Mining Fuzzy Ontology for a Web-Based Granular Information Retrieval System
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Supporting tutoring by improved statistical analysis of discussion forum
HSI'09 Proceedings of the 2nd conference on Human System Interactions
Ontology Representation and Inference Based on State Controlled Coloured Petri Nets
Proceedings of the 2011 conference on Information Modelling and Knowledge Bases XXII
Toward a semantic granularity model for domain-specific information retrieval
ACM Transactions on Information Systems (TOIS)
Designing personalized learning difficulty for online learners
ICWL'10 Proceedings of the 2010 international conference on New horizons in web-based learning
Leveraging web 2.0 data for scalable semi-supervised learning of domain-specific sentiment lexicons
Proceedings of the 20th ACM international conference on Information and knowledge management
Text mining and probabilistic language modeling for online review spam detection
ACM Transactions on Management Information Systems (TMIS)
Automatically structuring domain knowledge from text: An overview of current research
Information Processing and Management: an International Journal
Expert Systems with Applications: An International Journal
Proceedings of the CUBE International Information Technology Conference
Domain taxonomy learning from text: The subsumption method versus hierarchical clustering
Data & Knowledge Engineering
Construction of Domain Ontologies: Sourcing the World Wide Web
International Journal of Intelligent Information Technologies
A method for the acquisition of ontology-based user profiles
Advances in Engineering Software
Multi-document summarization based on the Yago ontology
Expert Systems with Applications: An International Journal
Concept map construction from text documents using affinity propagation
Journal of Information Science
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With the widespread applications of electronic learning (e-Learning) technologies to education at all levels, increasing number of online educational resources and messages are generated from the corresponding e-Learning environments. Nevertheless, it is quite difficult, if not totally impossible, for instructors to read through and analyze the online messages to predict the progress of their students on the fly. The main contribution of this paper is the illustration of a novel concept map generation mechanism which is underpinned by a fuzzy domain ontology extraction algorithm. The proposed mechanism can automatically construct concept maps based on the messages posted to online discussion forums. By browsing the concept maps, instructors can quickly identify the progress of their students and adjust the pedagogical sequence on the fly. 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.