Marrying Words and Trees
Summary: Use nested words to unify linear and hierarchical data and define automata that generalize both word and ordered-tree automata. Show finite-state nested-word automata can be exponentially more succinct than tree automata, and pushdown variants subsume both context-free word and context-free tree languages while analysis complexity and closure properties remain analogous to the classical cases. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rajeev Alur
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,392 | From Regular Expressions to Nested Words: Unifying Languages and Query Execution for Relational and XML Sequences | 2010 | VLDB | 4.7429265e-05 |
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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