Abstract
This paper reports the experiment conducted for the development and assessment of a new software tool allowing the automatic discovery of correlations in large legislative frameworks.
The system, named NavigaNorme, has been mainly designed to support experts of the Legal domain involved in the simplification of the Italian normative framework for all levels of the Public Administration. In fact, the most relevant functionality in NavigaNorme is the identification, given a paragraph in a selected norm, of those paragraphs (in the same norm and in other norms) that should be considered in trying to reduce the number of norms being in force or in drafting a new law.
NavigaNorme relies on a search engine that combines classical Information retrieval techniques with some ad-hoc strategies introduced to increase the precision of the retrieval by exploiting implicit information extracted from the logical structure of Legal and normative texts.
The effectiveness of NavigaNorme has been mainly measured in terms of precision, through an assessment procedure that involved experts of the Legal domain.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
CNIPA: Formato per la rappresentazione elettronica dei provvedimenti normativi tramite il linguaggio di marcatura XML. TR: AIPA-CR-40 (2002)
Norme In Rete, http://www.normeinrete.it/
Amati, G.: Frequentist and Bayesian Approach to Information Retrieval. In: Lalmas, M., MacFarlane, A., Rüger, S.M., Tombros, A., Tsikrika, T., Yavlinsky, A. (eds.) ECIR 2006. LNCS, vol. 3936, pp. 13–24. Springer, Heidelberg (2006)
Amati, G., van Rijsbergen, C.J.: Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM Trans. Inf. 20(4), 357–389 (2002)
Brin, S.: The Anatomy of a Large-Scale Hypertextual Web Search Engine. Computer Networks and ISDN Systems, 107–117 (1998)
Kleinberg, J.M.: Authoritative sources in a hyperlinked environment. Journal of the ACM 46(5), 604–632 (1999)
Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C., Lioma, C.: Terrier - A High Performance and Scalable Information Retrieval Platform. In: ACM SIGIR 2006 Workshop on Open Source Information Retrieval (OSIR 2006), Seattle, Washington, USA (2006)
Stemmer Snowball, http://snowball.tartarus.org
The JUNG Web site, http://jung.sourceforge.net
Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley, Reading (1999)
Voorhees, E.M.: The Philosophy of Information Retrieval Evaluation. In: Peters, C., Braschler, M., Gonzalo, J., Kluck, M. (eds.) CLEF 2001. LNCS, vol. 2406, pp. 355–370. Springer, Heidelberg (2002)
van Rijsbergen, C.J.: Information Retrieval. Butterworth (1979)
Leggi dltalia Professionale, http://www.leggiditaliaprofessionale.it
Dejure - Giuffr, http://dejure.giuffre.it
WestLaw, http://www.westlaw.com
LexisNexis, http://www.lexisnexis.com/
Quicklaw, http://www.quicklaw.com/
Benjamins, R., Casanovas, P., Gangemi, A., Breuker, J.: Law and the Semantic Web - Legal Ontologies, Methodologies, Legal Information Retrieval, and Applications. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bianchi, M., Draoli, M., Gambosi, G., Stilo, G. (2009). A Support System for the Analysis and the Management of Complex Ruling Documents. In: Abramowicz, W., Flejter, D. (eds) Business Information Systems Workshops. BIS 2009. Lecture Notes in Business Information Processing, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03424-4_35
Download citation
DOI: https://doi.org/10.1007/978-3-642-03424-4_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03423-7
Online ISBN: 978-3-642-03424-4
eBook Packages: Computer ScienceComputer Science (R0)