Improved MAX SNP-Hard Results for Finding an Edit Distance between Unordered Trees

Author(s):  
Kouichi Hirata ◽  
Yoshiyuki Yamamoto ◽  
Tetsuji Kuboyama
Author(s):  
JIANGUO LU ◽  
JU WANG ◽  
SHENGRUI WANG

XML Schema matching problem can be formulated as follows: given two XML Schemas, find the best mapping between the elements and attributes of the schemas, and the overall similarity between them. XML Schema matching is an important problem in data integration, schema evolution, and software reuse. This paper describes a matching system that can find accurate matches and scales to large XML Schemas with hundreds of nodes. In our system, XML Schemas are modeled as labeled and unordered trees, and the schema matching problem is turned into a tree matching problem. We proposed Approximate Common Structures in trees, and developed a tree matching algorithm based on this concept. Compared with the traditional tree edit-distance algorithm and other schema matching systems, our algorithm is faster and more suitable for large XML Schema matching.


2013 ◽  
Vol 470 ◽  
pp. 10-22 ◽  
Author(s):  
Tatsuya Akutsu ◽  
Daiji Fukagawa ◽  
Magnús M. Halldórsson ◽  
Atsuhiro Takasu ◽  
Keisuke Tanaka

2012 ◽  
Vol 19 (10) ◽  
pp. 1089-1104 ◽  
Author(s):  
Tomoya Mori ◽  
Takeyuki Tamura ◽  
Daiji Fukagawa ◽  
Atsuhiro Takasu ◽  
Etsuji Tomita ◽  
...  

2011 ◽  
Vol 12 (Suppl 1) ◽  
pp. S13 ◽  
Author(s):  
Daiji Fukagawa ◽  
Takeyuki Tamura ◽  
Atsuhiro Takasu ◽  
Etsuji Tomita ◽  
Tatsuya Akutsu

2006 ◽  
Vol 13 (6) ◽  
pp. 1165-1176 ◽  
Author(s):  
Yair Horesh ◽  
Ramit Mehr ◽  
Ron Unger

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