ACM Home Page
Please provide us with feedback. Feedback
Efficient processing of joins on set-valued attributes
Full text PdfPdf (678 KB)
Source International Conference on Management of Data archive
Proceedings of the 2003 ACM SIGMOD international conference on Management of data table of contents
San Diego, California
SESSION: XML indexing and compression table of contents
Pages: 157 - 168  
Year of Publication: 2003
ISBN:1-58113-634-X
Author
Nikos Mamoulis  University of Hong Kong, Pokfulam Road, Hong Kong
Sponsor
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 55,   Citation Count: 14
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/872757.872778
What is a DOI?

ABSTRACT

Object-oriented and object-relational DBMS support set valued attributes, which are a natural and concise way to model complex information. However, there has been limited research to-date on the evaluation of query operators that apply on sets. In this paper we study the join of two relations on their set-valued attributes. Various join types are considered, namely the set containment, set equality, and set overlap joins. We show that the inverted file, a powerful index for selection queries, can also facilitate the efficient evaluation of most join predicates. We propose join algorithms that utilize inverted files and compare them with signature-based methods for several set-comparison predicates.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
2
 
3
 
4
S. W. Golomb. Run length encodings. IEEE Transactions on Information Theory, 12(3):399--401, 1966.
 
5
6
 
7
 
8
S. Helmer and G. Moerkotte. A study of four index structures for set-valued attributes of low cardinality. In Technical Report, University of Mannheim, number 2/99. University of Mannheim, 1999.
9
 
10
N. Mamoulis, D. W. Cheung, and W. Lian. Similarity search in sets and categorical data using the signature tree. In Proc. of Int'l Conf. on Data Engineering (ICDE), 2003.
 
11
 
12
 
13
 
14
15
 
16
 
17

CITED BY  14