Automated Analysis and Interrelation of Legal Elements Based on Text Mining

Author:

Lachana Zoi1,Loutsaris Michalis Avgerinos1,Alexopoulos Charalampos1,Charalabidis Yannis2

Affiliation:

1. University of the Aegean, Samos, Greece

2. Department of Information and Communication Systems Engineering, University of the Aegean, Samos, Greece

Abstract

One of the most promising developments comes with the use of innovative technologies and thus with the availability of novel services. The combination of text mining with legal elements may contribute to the development of many innovative legal IS. Moreover, in the case of public administrations and governments, the distribution, availability, and access towards legal information are essential and urgent. On the other hand, legal data and law texts are a potential open government data category in order for innovation to be achieved, regarding the development of new, better, and more cost-effective services for citizens. Those data need to be available 24/7 basis and compliant towards a standard. Yet, there exist some severe issues at the moment regarding this access. This, in turn, makes the use of automated crawling and analysis more than difficult. This paper describes the “Peri Nomou” system: an innovative legal information system for Greek laws utilising text mining techniques to indexing legal documents, identifying correlations and dividing legal documents into their articles.

Publisher

IGI Global

Subject

Marketing,Strategy and Management,Computer Networks and Communications,Computer Science Applications,Management Information Systems

Reference44 articles.

1. A methodology for determining the value generation mechanism and the improvement priorities of open government data systems

2. Baroni, M., Bernardi, R., and Zamparelli, R. (2014). Frege in space: A program for compositional distributional semantics. Linguistic Issues in Language Technology, 9.

3. Online Legal Information System (OLIS) Leveraging Access to Legal Information Resources in Indian Environment.;R. K.Bhardwaj;DESIDOC Journal of Library and Information Technology,2016

4. Latent Dirichlet allocation.;D.Blei;Journal of Machine Learning Research,2003

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