Efficient Structural Joins on Indexed XML Documents
By Shu-Yao Chien, Zografoula Vagena, Donghui Zhang, V. Tsotras, Carlo Zaniolo. Very Large Data Bases Conference, 2002
314 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing
View Paper: https://www.semanticscholar.org/paper/1cda2691040b415a24866ea536d1683a997be133
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Yunyao Li
- Hosagrahar Visvesvaraya Jagadish
- Jeffrey Xu Yu
- Hongjun Lu
- Cong Yu
- Wook-Shin Han
- Yannis Papakonstantinou
- Yu Xu
In Computer Networks and Communications
- Yunyao Li
- Hosagrahar Visvesvaraya Jagadish
- Jeffrey Xu Yu
- Hongjun Lu
- Cong Yu
- Haifeng Jiang
- Yannis Papakonstantinou
- Yu Xu
In Signal Processing
- Hosagrahar Visvesvaraya Jagadish
- Jeffrey Xu Yu
- Yunyao Li
- Hongjun Lu
- Cong Yu
- Haifeng Jiang
- Yannis Papakonstantinou
- Yu Xu
Citations in the corpus
- Schema-Free XQuery (2004, methodology): “Our algorithm is inspired by the stack-based family of algorithms for structural join [6, 7, 8, 10], and is limited to XQuery implementations that can support”
- Holistic Twig Joins on Indexed XML Documents (2003, methodology): “Most existing XML query processing algorithms rely on a positional representation of element nodes, where each element is represented with a tuple of three elds: (start; end; level)1, based on its position in the data tree [20, 14, 4 , 8]. Such a numbering scheme is also called as region encoding.”