Searching Web Documents Using a Fuzzy-Based Method
DOI:
https://doi.org/10.24203/ajfam.v5i2.4488Keywords:
Web documents, Search algorithms, Type-2 fuzzy sets, Linguistic variables, User modelingAbstract
Web searching could be more fruitful if a user could easily find documents which satisfy his/her needs in terms of structure, format and contents. Herein a solution through a fuzzy linguistic description of the document is proposed, a linguistic variant of standard metadata types. Linguistic expressions are used to qualitatively represent both meta-information and user needs and a matching system is developed to select the most compatible documents with the user profile. The documents retrieved by a web search engine are organized in clusters and ordered in each cluster.
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