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CLC number: TP391

On-line Access: 2010-01-10

Received: 2009-12-17

Revision Accepted: 2010-08-12

Crosschecked: 2010-12-06

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Journal of Zhejiang University SCIENCE C 2011 Vol.12 No.1 P.62-75


Index and retrieve the skyline based on dominance relationship

Author(s):  Chang XU, Li-dan SHOU, Gang Chen, Yun-jun Gao

Affiliation(s):  School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   chinawraith@163.com, should@zju.edu.cn

Key Words:  Spatial database, Skyline, Preference queries

Chang XU, Li-dan SHOU, Gang Chen, Yun-jun Gao. Index and retrieve the skyline based on dominance relationship[J]. Journal of Zhejiang University Science C, 2011, 12(1): 62-75.

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author="Chang XU, Li-dan SHOU, Gang Chen, Yun-jun Gao",
journal="Journal of Zhejiang University Science C",
publisher="Zhejiang University Press & Springer",

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%T Index and retrieve the skyline based on dominance relationship
%A Chang XU
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%A Gang Chen
%A Yun-jun Gao
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%DOI 10.1631/jzus.C0900003

T1 - Index and retrieve the skyline based on dominance relationship
A1 - Chang XU
A1 - Li-dan SHOU
A1 - Gang Chen
A1 - Yun-jun Gao
J0 - Journal of Zhejiang University Science C
VL - 12
IS - 1
SP - 62
EP - 75
%@ 1869-1951
Y1 - 2011
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C0900003

In multi-criterion decision making applications, a skyline query narrows the search range, as it returns only the points that are not dominated by others. Unfortunately, in high-dimensional/large-cardinal datasets there exist too many skyline points to offer interesting insights. In this paper, we propose a novel structure, called the dominance tree (Do-Tree), to effectively index and retrieve the skyline. Do-Tree is a straightforward and flexible tree structure, in which skyline points are resident on leaf nodes, while the internal nodes contain the entries that dominate their children. As Do-Tree is built on a dominance relationship, it is suitable for the retrieval of specified skyline via dominance-based predicates customized by users. We discuss the topology of Do-Tree and propose the construction methods. We also present the scan scheme of Do-Tree and some useful queries based on it. Extensive experiments confirm that Do-Tree is an efficient and scalable index structure for the skyline.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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