Title :
Reducing redundancy in XML Keyword Search by indirect-SLCA
Author :
Gao Dandan ; Wang Xinjun ; Zhang Lihua
Author_Institution :
Dept. of Comput. Sci. & Technol., Shandong Univ., Jinan
Abstract :
In this paper, we study the problem of the data redundancy in XML Keyword Search by SLCA and propose a new mode to resolve it. We begin by introducing the notion of SLCA and analyzing its faults. Then we propose the concept of Indirect-SLCA (ISLCA) to reduce the redundancy basing on the notion of Heterogeneous node. In order to speed up the computation of ISLCA, we improve the Dewey code by bring in the labelpsilas information. And we name the new one LDC. At last we give an Algorithm to compute the ISLCA.
Keywords :
XML; redundancy; Dewey code; SLCA; XML keyword search; data redundancy; lowest common ancestor; Computer science; Computer science education; Data analysis; Databases; Educational technology; Information analysis; Keyword search; Proposals; Redundancy; XML;
Conference_Titel :
IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-3616-3
Electronic_ISBN :
978-1-4244-2511-2
DOI :
10.1109/ITME.2008.4743846