Learning to Integrate Web Catalogs with Conceptual Relationships in Hierarchical Thesaurus

  • Jui-Chi Ho
  • Ing-Xiang Chen
  • Cheng-Zen Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4182)


Web catalog integration has been addressed as an important issue in current digital content management. Past studies have shown that exploiting a flattened structure with auxiliary information extracted from the source catalog can improve the integration results. Although earlier studies have also shown that exploiting a hierarchical structure in classification may bring better advantages, the effectiveness has not been testified in catalog integration. In this paper, we propose an enhanced catalog integration (ECI) approach to extract the conceptual relationships from the hierarchical Web thesaurus and further improve the accuracy of Web catalog integration. We have conducted experiments of real-world catalog integration with both a flattened structure and a hierarchical structure in the destination catalog. The results show that our ECI scheme effectively boosts the integration accuracy of both the flattened scheme and the hierarchical scheme with the advanced Support Vector Machine (SVM) classifiers.


Support Vector Machine Test Document Accuracy Improvement Source Category Hierarchical Scheme 
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 2006

Authors and Affiliations

  • Jui-Chi Ho
    • 1
  • Ing-Xiang Chen
    • 1
  • Cheng-Zen Yang
    • 1
  1. 1.Department of Computer Science and EngineeringYuan Ze UniversityTaiwan, R.O.C.

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