Title :
Research and Application of XML Documents Query Based on Weight Cost
Author_Institution :
Sch. of Comput. Sci., Jiaying Univ., Meizhou, China
Abstract :
In order to meet the Web-based XML data similar to the information search, data mining, information classification and data exchange needs, analysis of the XML document similarity measure Ways - set metric methods, measurement methods and the cost of linear measure. Based on weights cost for machine learning of XML document similarity measure algorithm. The methods for query expansion to find the most represent the user´s query intention to expand the weight of the query words. Experiments show that the algorithm extends the XML query document the scope of the document to improve full-search ratio and accurate search ratio.
Keywords :
Internet; XML; information retrieval; learning (artificial intelligence); Web-based XML data; XML documents query; accurate search ratio; data exchange; data mining; full-search ratio; information classification; information search; machine learning; query expansion; weight cost; Area measurement; Change detection algorithms; Costs; Database languages; Information processing; Information retrieval; Machine learning algorithms; Space technology; Tree data structures; XML; Data Mining; Information Search; Similarity Measurement; XML;
Conference_Titel :
Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3699-6
DOI :
10.1109/APCIP.2009.135