Title
Rule-driven processing of tree-structured data using pointed trees
Abstract
This paper puts forward a data model based on pointed unranked trees labelled with arbitrary strings. An abstract transformation machine for this data model is presented that combines rule-driven processing with a very simple query mechanism. This machine is shown to be able to express any computable tree transformation. This suggests that the rule-driven processing principle is a powerful tool even when it is used in conjunction with a simple and weak query model. An implementation of this machine enhanced with regular expression-based query mechanism is discussed.
Year
DOI
Venue
2003
10.1016/S0920-5489(03)00068-0
Computer Standards & Interfaces
Keywords
Field
DocType
Tree-structured data,Pointed tree,Transducer,Tree walking,Regular expression
Tree traversal,Computer science,K-ary tree,Tree (data structure),Metric tree,Algorithm,Theoretical computer science,Tree structure,Incremental decision tree,Interval tree,Search tree
Journal
Volume
Issue
ISSN
25
5
0920-5489
Citations 
PageRank 
References 
1
0.41
8
Authors
2
Name
Order
Citations
PageRank
Nikita Schmidt133518.25
Ahmed Patel216723.33