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Automated Analysis and Interrelation of Legal Elements Based on Text Mining

Author

Listed:
  • Zoi Lachana

    (University of the Aegean, Samos, Greece)

  • Michalis Avgerinos Loutsaris

    (University of the Aegean, Samos, Greece)

  • Charalampos Alexopoulos

    (University of the Aegean, Samos, Greece)

  • Yannis Charalabidis

    (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.

Suggested Citation

  • Zoi Lachana & Michalis Avgerinos Loutsaris & Charalampos Alexopoulos & Yannis Charalabidis, 2020. "Automated Analysis and Interrelation of Legal Elements Based on Text Mining," International Journal of E-Services and Mobile Applications (IJESMA), IGI Global, vol. 12(2), pages 79-96, April.
    • Handle: RePEc:igg:jesma0:v:12:y:2020:i:2:p:79-96
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