Abstract
A method is described for extracting semantic relationships between terms appearing in documents stored on a personal computer; these relationships can be used to personalize Web search. It is based on the assumption that the information a person stores on a personal computer and the directory structure in the PC reflect, to some extent, the person’s knowledge, ideology, and concept classification. It works by identifying semantic relationships between the terms in documents on the PC; these relationships reflect the person’s relative valuation of each term in a pair. The directory structure is examined to identify the deviations in the appearance of the terms within each directory. These deviations are then used to identify the relationships between the terms. Four relationships are defined: broad, narrow, co-occurrent, and exclusive. They can be used to personalize Web search through, for example, expansion of queries and re-ranking of search results.
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© 2006 Springer-Verlag Berlin Heidelberg
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Ohshima, H., Oyama, S., Tanaka, K. (2006). Extracting Semantic Relationships Between Terms from PC Documents and Its Applications to Web Search Personalization. In: Zhou, X., Li, J., Shen, H.T., Kitsuregawa, M., Zhang, Y. (eds) Frontiers of WWW Research and Development - APWeb 2006. APWeb 2006. Lecture Notes in Computer Science, vol 3841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610113_51
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DOI: https://doi.org/10.1007/11610113_51
Publisher Name: Springer, Berlin, Heidelberg
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