Experiments and Analysis of Discover for Keyword Search in Relational Database
Yingli Zhong · Intelligent Computer and Applications · 2011
Early in 2002,the relational database keywords search problem has appeared a lot of representative research results.Among them,Discover has been cited many times afterwards because of its classical algorithm.But the experiment in Discover is not abundant,such as the number of keywords is less,experimental results do not include the influence between the number of keywords and the size of result sets,experiments are carried out only under the semantic of AND,etc.Due to the above problems,there is no meaningful data to keyword search.This paper realizes the keyword search algorithm and provides the experimental data for further perfect.The results of the experiment are analyzed and stated,providing more valuable experimental data and analysis results for keyword search.