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PIX: Partitioned Index for Keyword Search over XML Documents  

Lee Hongrae (서울대학교 컴퓨터공학부)
Lee Hyungdong (서울대학교 컴퓨터공학부)
Yoo Sangwon (서울대학교 컴퓨터공학부)
Kim Hyoung-Joo (서울대학교 컴퓨터공학부)
Publication Information
Journal of KIISE:Databases / v.31, no.6, 2004 , pp. 710-720 More about this Journal
Abstract
As XML documents have much richer information than plain texts, we can perform very elaborated, fine-grained search which was difficult in past years. However, as the cost of finer grained element level search is very high, the processing overhead has become a new challenge. We propose an inverted index structure called PIX, which reduces the number of elements processed by partitioning elements according to their match potentiality. We choose a base level and partition elements according to whether they have possibility of having a common ancestor higher than the level. We also propose partition merging technique by which we can get same results as unpartitioned case. Our experimental results show that the index partitioning strategy can reduce processing time considerably.
Keywords
XML; keyword search; partitioned index; inverted index;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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