Abstract
Dependability on XML has increased tremendously over the years. As such the need for efficient query processing technique is certainly important. Despite the fact that these techniques are able to process queries with various edge combinations, they still suffer from processing overheads by buffering large amount of intermediate results particularly for parent-child (P-C) edges. Therefore, in this paper, we propose architecture named ReLaQ, which comprises of two components, ReLab+ (node annotator) and QTwig (query processor) for efficient XML query processing. QTwig improves retrieval time by incorporating a pruning technique that avoids accessing irrelevant data during query processing. Experimental results indicated that ReLaQ superseded TwigStack for both path and twig queries using both regular-and skewed-structured datasets. In addition, this is also proven by means of correctness analysis of ReLaQ.
Original language | English |
---|---|
Pages (from-to) | 321-342 |
Number of pages | 22 |
Journal | International Journal of Software Engineering and Knowledge Engineering |
Volume | 27 |
Issue number | 2 |
DOIs | |
Publication status | Published - Mar 2017 |
Externally published | Yes |
Keywords
- Labeling scheme
- Query evaluation
- Query optimization
- Structural join
- Xml query processing