A New Web Document Retrieval Method Using Extended-IOWA (Extended-Induced Ordered Weighted Averaging) Operator on HTML Tags
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 3
Abstract
Abstract: A new scenario has arisen into the information retrieval (IR) field with the increase in the use of mark-up languages. This paper targets structured IR and is focused on documents with structure. This assumption forces us to estimate the different weights which are applied to every field of structured web documents (designed using HTML). In this work a new ranking function based on fuzzy logic called Extended-IOWA operator for structured IR has proposed. Its purpose is to develop a competent IR system through Extended-IOWA operator with weighted HTML tags. We prioritized HTML tags into four classes and assign fuzzy weights to these classes according to their significance in text retrieval. Document weights are based on tags, which contain query terms. Consequently each class generates a matrix which describes document-document relationship using Linguistic terms which we represent using Trapezoidal Fuzzy Numbers. Document score is calculated in different classes and finally scores of documents are aggregated by Extended-IOWA which in turn returns result in the form of final ranked list of relevant documents.
Authors and Affiliations
Sukrati Pathak , Sakshi Mitra
Keywords
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