Top-down tree edit-distance of regular tree languages

Sang Ki Ko, Yo Sub Han, Kai Salomaa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We study the edit-distance of regular tree languages. The edit-distance is a metric for measuring the similarity or dissimilarity between two objects, and a regular tree language is a set of trees accepted by a finite-state tree automaton or described by a regular tree grammar. Given two regular tree languages L and R, we define the edit-distance d(L,R) between L and R to be the minimum edit-distance between a tree t1 ∈ L and t2 ∈ R, respectively. Based on tree automata for L and R, we present a polynomial algorithm that computes d(L,R). We also suggest how to use the edit-distance between two tree languages for identifying a special common string between two context-free grammars.

Original languageEnglish
Title of host publicationLanguage and Automata Theory and Applications - 8th International Conference, LATA 2014, Proceedings
Pages466-477
Number of pages12
DOIs
Publication statusPublished - 2014 Apr 14
Event8th International Conference on Language and Automata Theory and Applications, LATA 2014 - Madrid, Spain
Duration: 2014 Mar 102014 Mar 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8370 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Language and Automata Theory and Applications, LATA 2014
CountrySpain
CityMadrid
Period14/3/1014/3/14

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ko, S. K., Han, Y. S., & Salomaa, K. (2014). Top-down tree edit-distance of regular tree languages. In Language and Automata Theory and Applications - 8th International Conference, LATA 2014, Proceedings (pp. 466-477). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8370 LNCS). https://doi.org/10.1007/978-3-319-04921-2_38