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Information Technology Journal
  Year: 2010 | Volume: 9 | Issue: 6 | Page No.: 1158-1164
DOI: 10.3923/itj.2010.1158.1164
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Visual Knowledge Recommendation Service Based on Intelligent Topic Map

G. Li and H. Lu

Aiming to help users to effectively acquire and visualize target knowledge from massive, distributed and heterogeneous information sources, we designed a visual knowledge recommendation service system based on intelligent topic map. It includes knowledge organization, knowledge recommendation and visualization display. Knowledge logical organization model based on intelligent topic map extends the conventional topic map in structure and enhances its reasoning functions. Hot resources mining distinguish the different importance degree of knowledge nodes (topics or knowledge elements), interest trends predict the interested knowledge of users in the future and knowledge navigations provide a personalized navigation path for users. Moreover, recommendation results visualization based on intelligent Topic Map provides users with an intuitive, graphic and pellucid visual interface. Finally, a demonstration is given to elaborate the knowledge recommendation providing process.
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  •    Functional Ontology and Concept Maps for Knowledge Navigation: An Application Example for Contest Robot
  •    An Intelligent Topic Map-Based Approach to Detecting and Resolving Conflicts for Multi-Resource Knowledge Fusion
  •    Distributed Knowledge Integration Based on Intelligent Topic Map
How to cite this article:

G. Li and H. Lu, 2010. Visual Knowledge Recommendation Service Based on Intelligent Topic Map. Information Technology Journal, 9: 1158-1164.

DOI: 10.3923/itj.2010.1158.1164






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