DocumentCode :
2638299
Title :
Research of massive heterogeneous data integration based on Lucene and XQuery
Author :
Tianyuan, Liu ; Meina, Song ; Xiaoqi, Zhang
Author_Institution :
Sch. of Comput., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2010
fDate :
16-17 Aug. 2010
Firstpage :
648
Lastpage :
652
Abstract :
This paper proposes a model of massive heterogeneous data integration system based on Lucene and XQuery. This model shields distribution and heterogeneity of resources and achieves transparent access using materialized view of database. The query efficiency is increased due to the highly effective categorization algorithm to segment data as an index with open source tool Lucene. Further, the model makes full use of the advantage of XQuery, which can process not only structured data but also non-structured data so as to solve the significant difference among various data sources as well as the efficiency of massive data access.
Keywords :
data handling; information retrieval; public domain software; query languages; search engines; XQuery; categorization algorithm; massive data access; massive heterogeneous data integration system; open source tool Lucene; Algorithm design and analysis; Distributed databases; Indexes; Libraries; Query processing; XML; Heterogeneous Data; Lucene; Massive; XQuery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Society (SWS), 2010 IEEE 2nd Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6356-5
Type :
conf
DOI :
10.1109/SWS.2010.5607370
Filename :
5607370
Link To Document :
بازگشت