Relevant XML Documents - Approach Based on Vectors and Weight Calculation of Terms
Автор: Abdeslem DENNAI, Mohammed Yacine DENNAI, Sidi Mohammed BENSLIMANE
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 11 Vol. 8, 2016 года.
Бесплатный доступ
Three classes of documents, based on their data, circulate in the web: Unstructured documents (.Doc, .html, .pdf ...), semi-structured documents (.xml, .Owl ...) and structured documents (Tables database for example). A semi-structured document is organized around predefined tags or defined by its author. However, many studies use a document classification by taking into account their textual content and underestimate their structure. We attempt in this paper to propose a representation of these semi-structured web documents based on weighted vectors allowing exploiting their content for a possible treatment. The weight of terms is calculated using: The normal frequency for a document, TF-IDF (Term Frequency - Inverse Document Frequency) and logic (Boolean) frequency for a set of documents. To assess and demonstrate the relevance of our proposed approach, we will realize several experiments on different corpus.
Semi-structured web document, term weighting, term frequency, TF-IDF and logic frequency
Короткий адрес: https://sciup.org/15012585
IDR: 15012585
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