Paper Info
Title
Similarity analysis on government regulations
Abstract
Government regulations are semi-structured text documents that are often voluminous, heavily cross-referenced between provisions and even ambiguous. Multiple sources of regulations lead to difficulties in both understanding and complying with all applicable codes. In this work, we propose a framework for regulation management and similarity analysis. An online repository for legal documents is created with the help of text mining tool, and users can access regulatory documents either through the natural hierarchy of provisions or from a taxonomy generated by knowledge engineers based on concepts. Our similarity analysis core identifies relevant provisions and brings them to the user's attention, and this is performed by utilizing both the hierarchical and referential structures of regulations to provide a better comparison between provisions. Preliminary results show that our system reveals hidden similarities that are not apparent between provisions based on node content comparisons.
Year
DOI
Venue
2003
10.1145/956750.956845
KDD
Keywords
Field
DocType
legal document,similarity analysis,applicable code,similarity analysis core,better comparison,text mining tool,knowledge engineer,multiple source,semi-structured text document,government regulation,text mining,regulations,knowledge engineering
Data science,Similarity analysis,Data mining,World Wide Web,Computer science,Legal informatics,Hierarchy,Government
Conference
ISBN
Citations 
PageRank 
1-58113-737-0
8
0.84
References 
Authors
9
3
Name
Order
Citations
PageRank
Gloria T. Lau180.84
Kincho H. Law232944.03
Gio Wiederhold342601502.89