The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Efficient Query Processing with Structural Join Indexing in an Object Relational Data Warehousing Environment
|
|
Author(s): Vivekanand Gopalkrishnan (City University of Hong Kong, China), Qing Li (City University of Hong Kong, China)and Kamalakar Karlapalem (University of Science and Technology, Hong Kong, China)
Copyright: 2002
Pages: 14
Source title:
Data Warehousing and Web Engineering
Source Author(s)/Editor(s): Shirley Becker (Northern Arizona University, USA)
DOI: 10.4018/978-1-931777-02-5.ch014
Purchase
|
Abstract
In an Object Relational Data Warehousing (ORDW) environment, the semantics of data and queries can be explicitly captured, represented, and utilized based on is-a and class composition hierarchies, thereby resulting in more efficient OLAP query processing. In this chapter, we show the efficacy in building semantic-rich hybrid data indexes incorporating Structural Join Index Hierarchy (SJIH) on the ORDW views. Given a set of queries, we use a hill-climbing heuristic algorithm to select (near) optimal SJIHs, thereby embedding query semantics into the indexing framework. Finally, by a cost model, we analyze the effectiveness of our approach vis-a-vis the pointer chasing approach.
Related Content
|
Md Sakir Ahmed, Abhijit Bora.
© 2024.
15 pages.
|
|
Lakshmi Haritha Medida, Kumar.
© 2024.
18 pages.
|
|
Gypsy Nandi, Yadika Prasad.
© 2024.
16 pages.
|
|
Saurav Bhattacharjee, Sabiha Raiyesha.
© 2024.
14 pages.
|
|
Naren Kathirvel, Kathirvel Ayyaswamy, B. Santhoshi.
© 2024.
26 pages.
|
|
K. Sudha, C. Balakrishnan, T. P. Anish, T. Nithya, B. Yamini, R. Siva Subramanian, M. Nalini.
© 2024.
25 pages.
|
|
Sabiha Raiyesha, Papul Changmai.
© 2024.
28 pages.
|
|
|