Abstract
This paper introduces a retrieval method based on conceptual graph. A hyperlink information is essential to construct conceptual graph. The information is very useful as it provides summary and further linkage to construct conceptual graph that has been provided by human. It also has a property which shows review, relation, hierarchy, generality, and visibility. Using this property, we extracted the keywords of web documents and made up of the conceptual graph among the keywords sampled from web pages. This paper extracts the keywords of web pages using anchor text one out of hyperlink information and makes hyperlink of web pages abstract as the link relation between keywords of each web page. I suggest this useful retrieval method providing querying word extension or domain knowledge by conceptual graph of keywords.
This paper was supported by research funds of ChonBuk National  University.
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Lee, M., Kang, EK., Gatton, T.M. (2006). Web-Document Filtering Using Concept Graph. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751632_102
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DOI: https://doi.org/10.1007/11751632_102
Publisher Name: Springer, Berlin, Heidelberg
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