@Article{csse.2018.33.125,
AUTHOR = {Yong Zhang, Jing Cai, Quanlin Li},
TITLE = {MapReduce Implementation of an Improved Xml Keyword Search Algorithm},
JOURNAL = {Computer Systems Science and Engineering},
VOLUME = {33},
YEAR = {2018},
NUMBER = {2},
PAGES = {125--135},
URL = {http://www.techscience.com/csse/v33n2/39964},
ISSN = {},
ABSTRACT = {Extensible Markup Language (XML) is commonly employed to represent and transmit information over the Internet. Therefore, how to effectively search for
keywords of massive XML data becomes a new issue. In this paper, we first present four properties to improve the classical ILE algorithm. Then, a kind of
parallel XML keyword search algorithm, based on intelligent grouping to calculate SLCA, is proposed and realized under MapReduce programming model.
At last, a series of experiments are implemented on 7 datasets of different sizes. The obtained results indicate that the proposed algorithm has high execution
efficiency and is applicable to keyword search of massive XML data.},
DOI = {10.32604/csse.2018.33.125}
}