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Close Dominance Graph: An Efficient Framework for Answering Continuous Top- (k) Dominating Queries

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2 Author(s)
Santoso, B.J. ; Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan ; Ge-Ming Chiu

There are two preference-based queries commonly used in database systems: (1) top-k query and (2) skyline query. By combining the ranking rule used in top-(k) query and the notion of dominance relationships utilized in the skyline query, a top-(k) dominating query emerges, providing a new perspective on data processing. This query returns the (k) records with the highest domination scores from the dataset. However, the processing of the top-(k) dominating query is complex when the dataset operates under a streaming model. With new data being continuously generated while stale data being removed from the database, a continuous top-(k) dominating query (cTKDQ) requires that updated results can be returned to users at any time. This work explores the cTKDQ problem and proposes a unique indexing structure, called a Close Dominance Graph (CDG), to support the processing of a cTKDQ. The CDG provides comprehensive information regarding the dominance relationship between records, which is vital in answering a cTKDQ with a limited search space. The update process for a cTKDQ is then converted to a simple update affecting a small portion of the CDG. Experimental results show that this scheme is able to offer much better performance when compared with existing solutions.

Published in:

Knowledge and Data Engineering, IEEE Transactions on  (Volume:26 ,  Issue: 8 )

Date of Publication:

Aug. 2014

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