Fuzzy search is a search technique that finds matches even when the search query doesn't perfectly match corresponding data. It looks beyond literal character-for-character matching and identifies results that are similar to the search query in terms of spelling, meaning, or other criteria.
Download citation · Publisher Name: Springer, Cham · Print ISBN: 978-3-319-18605-4 · Online ISBN: 978-3-319-18606-1 · eBook Packages: EngineeringEngineering (R0) ...
Fuzzy Web Search: Representing and Applying Concepts Instead of ...
link.springer.com › content › pdf
aim of extracting and represent the concepts (instead of words) contained in ... Word-matching IR systems: Considering fuzzy interrelations for indexing web.
Oct 22, 2024 · Fuzzy Web Search: Representing and Applying Concepts Instead of Words. January 2015; Studies in Fuzziness and Soft Computing 323:295-306. DOI ...
May 16, 2017 · José A. Olivas: Fuzzy Web Search: Representing and Applying Concepts Instead of Words. Accuracy and Fuzziness 2015: 295-306.
6 days ago · Algorithms Used in Fuzzy Search · Description: Breaks down words or phrases into smaller chunks (n-grams) and compares them to find similarities.
A fuzzy search is a technique that uses search algorithms to find strings that match patterns approximately.
Abstract— Information on the web is growing huge in size and retrieval of relevant information from the web is a big challenge for search engines.
In this paper, a method of automatically classifying. Web documents into a set of categories using the fuzzy association concept is proposed.
In this paper, we propose a novel classification framework based on fuzzy formal concept analysis to conceptualize documents into a more abstract form of ...