Knowledge discovery through composited visualization, navigation and retrieval

Authors:
Wei-Ching Lim;Chien-Sing Lee
Affiliations:
Faculty of Information Technology, Multimedia University, Cyberjaya, Selangor, Malaysia;Faculty of Information Technology, Multimedia University, Cyberjaya, Selangor, Malaysia
Venue:
DS'05 Proceedings of the 8th international conference on Discovery Science
Year:
2005

Citing 3
Cited 3

Adaptive Hypermedia

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ER '97 Proceedings of the 16th International Conference on Conceptual Modeling
Discovering Ontological Semantics for Reuse and Sharing of Learning Objects in a Contextual Learning Environment

ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies

Ontological knowledge management through hybrid unsupervised clustering techniques

APWeb'08 Proceedings of the 10th Asia-Pacific web conference on Progress in WWW research and development
Formal concept analysis in knowledge discovery: a survey

ICCS'10 Proceedings of the 18th international conference on Conceptual structures: from information to intelligence
Review: Formal concept analysis in knowledge processing: A survey on applications

Expert Systems with Applications: An International Journal

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Abstract

In large databases, many problems occur when visualizing, navigating and retrieving information from databases. Ontologies help in adding semantics and context to the resources in databases. Hence, this paper presents the OntoVis, an ontological authoring and visualization tool, which emphasizes on the clustering of concepts in Formal Concept Analysis (FCA). The composited visualization, navigation and retrieval of resources will be presented in this paper.