文章基本信息

标题：A Survey on Fuzzy Based Fast Query for Data Retrieval
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作者：T.Nalini ; J. Rathanaa Ranjeni ; S.Brintha Rajakumari 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：7
DOI：10.15680/ijircce.2015.0307161 6392
出版社：S&S Publications
摘要：Structured query language (SQL) is a classical way to access relational databases. Although SQL is powerful to query relational databases, it is rather hard for inexperienced users. A search-as-you-type system comp utes answers on-the-fly as a user types in a keyword query character by character. To support prefix matching, we use auxiliary tables as index structures and SQL queries to support search -as-you-type. We present solutions for both single-keyword queries and multi keyword queries. We extended the techniq ues in the case of fuzzy queries and proposed various techniques to improve query performance. However, to support fuzzy search, there may be multiple prefixes similar to the keyword. We call the nodes o f these similar prefixes the active nodes for a keyword. Now we are going to use the fuzzy search to retrieve images. Data Indexer builds Keyword to Attribute Mapping for mapping keywords to attributes. Given a keyword query, Template Matcher suggests relevant templates based on the index structures.
关键词：Data Indexer; Fuzzy search; multiple keyword queries; Retrieve images; Single-keyword queries and ; Template Matcher