Semantic enhancement for legal information retrieval: Iuriservice performance

Full Text: PdfPdf Buy this ArticleBuy this Article
Authors: Núria Casellas Institute of Law of Technology (Universitat Autònoma de Barcelona), Campus UAB, Barcelona (Spain)
Pompeu Casanovas Institute of Law of Technology (Universitat Autònoma de Barcelona), Campus UAB, Barcelona (Spain)
Joan-Josep Vallbé Institute of Law of Technology (Universitat Autònoma de Barcelona), Campus UAB, Barcelona (Spain)
Marta Poblet Institute of Law of Technology (Universitat Autònoma de Barcelona), Campus UAB, Barcelona (Spain)
Mercedes Blázquez Intelligent Software Components S. A., Madrid (Spain)
Jesús Contreras Intelligent Software Components S. A., Madrid (Spain)
José-Manuel López-Cobo Intelligent Software Components S. A., Madrid (Spain)
V. Richard Benjamins Intelligent Software Components S. A., Madrid (Spain)
Semantic enhancement for legal information retrieval: Iuriservice performance Published by ACM 2007 Article
Bibliometrics Data  Bibliometrics
· Downloads (6 Weeks): 3
· Downloads (12 Months): 23
· Downloads (cumulative): 408
· Citation Count: 7

Published in:
· Proceeding
ICAIL '07 Proceedings of the 11th international conference on Artificial intelligence and law
Pages 49 - 57
ACM New York, NY, USA ©2007
table of contents ISBN: 978-1-59593-680-6 doi>10.1145/1276318.1276328

Tools and Resources

Share:

|
feedback Feedback | Switch to single page view (no tabs)

Powered by The ACM Guide to Computing Literature


The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2013 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us

Useful downloads: Adobe Acrobat    QuickTime    Windows Media Player    Real Player
The ACM Guide to Computing Literature
All Tags
Export Formats
 
 
Save to Binder