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Collaborative Content and User-Based Web Ontology Learning System

  • Edward H. Y. Lim
  • James N. K. Liu
  • Raymond S. T. Lee
Part of the Intelligent Systems Reference Library book series (ISRL, volume 8)

Abstract

This chapter presents a Collaborative Ontology Learning Approach for the implementation of an Ontology-based Web Content Management System (OWCMS). The proposal system integrates two supervised learning approach - Content-based Learning and User-based Learning Approach. The Content-based Learning Approach applies text mining methods to extract ontology concepts, and to build an Ontology Graph (OG) through the automatic learning of web documents. The User-based Learning Approach applies features analysis methods to extract the subset of the Ontology Graphs, in order to build a personalized ontology. Intelligent agent approach is employed to capture user reading habit and preference through their semantic navigation and search over the ontology-based web content. This system combines the two methods to create collaborative ontology learning through an ontology matching and refinement process on the ontology created from content-based learning and user-based learning. The proposed method improves the validness of the classical ontology learning outcome by userbased learning refinement and validation.

Keywords

Candidate Term Ontology Match User Search Ontology Learn Knowledge Unit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Edward H. Y. Lim
    • James N. K. Liu
      • Raymond S. T. Lee

        There are no affiliations available

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