期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：4
页码：2578
DOI：10.15680/IJIRSET.2015.0404148
出版社：S&S Publications
摘要：Struct ured query language (SQL) is a classical way to access relational databases. Although SQL is powerful to q uery relational databases, it is rather hard for inexperienced users. A search-as-you-type system computes 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 techniques 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 of 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 Attrib ute Mapping for mapping keywords to attributes. Given a keyword query, Template Matcher su ggests relevant templates based on the index structures.
