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ICWL
2004
Springer

Context-Based Classification for Link Data

9 years 6 months ago
Context-Based Classification for Link Data
In Web-based e-learning, an up-to-date catalogue of subject-specific Web resources can effectively offer inexperienced students with an advanced academic portal on the Web. To automatically construct such academic Web resource catalogue, a key issue is how to classify the collected Web pages. However, existing link-based classification methods treat all neighbors equally in the categorization of the target objects. In this paper, we propose a contextbased classification approach that can scale well for noisy and heterogeneous link data such as Web pages. We quantitatively measure the contextually topical dependencies between linked objects using the dependence functions, which are then exploited to classify the target objects in the link structure. Experimental results show that the proposed classification model can better capture the link regularities and can facilitate better categorization of linked objects. Keywords. Management of learning resource, link-based classification, conte...
YongHong Tian, Wen Gao, Tiejun Huang
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where ICWL
Authors YongHong Tian, Wen Gao, Tiejun Huang
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