Expressive and efficient pattern languages for tree-structured data (extended abstract)
Summary: Propose a SQL-like pattern language for trees that selects vertices by combining path-to-root regexes with expressive subtree predicates, and prove path-only languages cannot capture full MSO. Allowing a guarded fragment of MSO for subtree conditions yields MSO-equivalence while retaining efficient evaluability and practical usability. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Frank Neven (Limburgs Universitair Centrum)
- 2. Thomas Schwentick (Johannes Gutenberg University Mainz)
BibTeX Citation
@inproceedings{neven_pods00,
address = {New York, NY, USA},
series = {{PODS} '00},
title = {{Expressive and efficient pattern languages for tree-structured data (extended abstract)}},
url = {https://dl.acm.org/doi/10.1145/335168.335217},
doi = {10.1145/335168.335217},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Neven, Frank and Schwentick, Thomas},
year = {2000}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,976 | XPath Satisfiability in the Presence of DTDs | 2005 | PODS | 9.2797174e-05 |
| 2,223 | Monadic Datalog and the Expressive Power of Languages for Web Information Extraction | 2002 | PODS | 8.8092332e-05 |
| 3,795 | The Expressivity of XPath with Transitive Closure* | 2006 | PODS | 7.0167646e-05 |
| 4,266 | A Web Odyssey: from Codd to XML | 2001 | PODS | 6.6972871e-05 |
| 5,474 | Running Tree Automata on Probabilistic XML | 2009 | PODS | 6.1176063e-05 |
| 8,043 | Extended Path Expressions for XML | 2001 | PODS | 5.4011538e-05 |
| 8,717 | Conditional XPath, the first order complete XPath dialect* | 2004 | PODS | 5.2905577e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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