Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11744
Title: Collaborative content and user-based web ontology learning system
Authors: Lim, EHY
Tam, HWK
Wong, SWK
Liu, JNK
Lee, RST
Keywords: Content management
Data mining
Groupware
Learning (artificial intelligence)
Ontologies (artificial intelligence)
Semantic Web
Text analysis
Web documents
Collaborative ontology learning approach
Content-based learning approach
Features analysis method
Intelligent agent approach
Issue Date: 2009
Publisher: IEEE
Source: IEEE International Conference on Fuzzy Systems, 2009 : FUZZ-IEEE 2009, 20-24 August 2009, Jeju Island, p. 1050-1055 How to cite?
Abstract: This paper 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 by using intelligent agent approach 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 user-based learning refinement and validation.
URI: http://hdl.handle.net/10397/11744
ISBN: 978-1-4244-3596-8
978-1-4244-3597-5 (E-ISBN)
ISSN: 1098-7584
DOI: 10.1109/FUZZY.2009.5277201
Appears in Collections:Conference Paper

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