DocumentCode :
3310761
Title :
BitCube: a three-dimensional bitmap indexing for XML documents
Author :
Yoon, Jong P. ; Raghavan, Vijay ; Chakilam, Venu
Author_Institution :
Centre for Adv. Comput. Studies, Louisiana Univ., Lafayette, LA, USA
fYear :
2001
fDate :
2001
Firstpage :
158
Lastpage :
167
Abstract :
We describe a new bitmap indexing based technique to cluster XML documents. XML is a new standard for exchanging and representing information on the Internet. Documents can be hierarchically represented by XML-elements. XML documents are represented and indexed using a bitmap indexing technique. We define the similarity and popularity operations available in bitmap indexes and propose a method for partitioning a XML document set. Furthermore, a 2-dimensional bitmap index is extended to a 3-dimensional bitmap index, called BitCube. We define statistical measurements in the BitCube: mean, mode, standard derivation, and correlation coefficient. Based on these measurements, we also define the slice, project, and dice operations on a BitCube. BitCube can be manipulated efficiently and improves the performance of document retrieval
Keywords :
Internet; database indexing; hypermedia markup languages; query processing; visual databases; BitCube; Internet; XML documents; document clustering; document partitioning; document retrieval; popularity operations; similarity operations; statistical measurements; three-dimensional bitmap indexing; Content based retrieval; Frequency; Image databases; Indexing; Information retrieval; Internet; Object oriented databases; Relational databases; Venus; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Scientific and Statistical Database Management, 2001. SSDBM 2001. Proceedings. Thirteenth International Conference on
Conference_Location :
Fairfax, VA
ISSN :
1099-3371
Print_ISBN :
0-7695-1218-6
Type :
conf
DOI :
10.1109/SSDM.2001.938548
Filename :
938548
Link To Document :
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