"Peri Nomou" System: Automated Codification and Interrelation of Legal Elements Based on Text Mining

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 information systems. 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” (about law) 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. The first version of the system has been evaluated by legal experts and the second version is developed based on the previous evaluation and presented in this paper. The results from the evaluation indicate the significance of the “Peri Nomou” system for the legal experts and allow us to promote the Peri Nomou system to other user groups, such as business, public administration.

[1]  Hajo Hippner,et al.  Text Mining , 2006, Informatik-Spektrum.

[2]  Manolis Koubarakis,et al.  Modeling and Querying Greek Legislation Using Semantic Web Technologies , 2017, ESWC.

[3]  Yannis Charalabidis,et al.  The World of Open Data: Concepts, Methods, Tools and Experiences , 2018 .

[4]  Klaus Krippendorff,et al.  Content Analysis: An Introduction to Its Methodology , 1980 .

[5]  Akira Shimazu,et al.  Supervised and Semi-Supervised Sequence Learning for Recognition of Requisite Part and Effectuation Part in Law Sentences , 2011, FSMNLP.

[6]  Clemens Wass openlaws.eu – Building Your Personal Legal Network , 2017 .

[7]  Tong Zhang,et al.  Information Retrieval and Text Mining , 2015 .

[8]  Dursun Delen,et al.  Seeding the survey and analysis of research literature with text mining , 2008, Expert Syst. Appl..

[9]  Christian Blaschke,et al.  Status of text-mining techniques applied to biomedical text. , 2006, Drug discovery today.

[10]  J. Harris Law and legal science : an inquiry into the concepts legal rule and legal system , 1979 .

[11]  Ioannis Anagnostopoulos,et al.  Network Analysis in the Legal Domain: A complex model for European Union legal sources , 2015, J. Complex Networks.

[12]  Thinh D. Bui,et al.  An approach for automatically structuring Vietnamese legal text , 2014, 2014 International Conference on Asian Language Processing (IALP).

[13]  Son T. Nguyen,et al.  Towards a Conceptual Search for Vietnamese Legal Text , 2014, CISIM.

[14]  Dieter Merkl,et al.  En route to data mining in legal text corpora: clustering, neural computation, and international treaties , 1997, Database and Expert Systems Applications. 8th International Conference, DEXA '97. Proceedings.

[15]  Yannis Charalabidis,et al.  A taxonomy of open government data research areas and topics , 2016, J. Organ. Comput. Electron. Commer..

[16]  Ah-Hwee Tan,et al.  Text Mining: The state of the art and the challenges , 2000 .

[17]  Yannis Charalabidis,et al.  A methodology for determining the value generation mechanism and the improvement priorities of open government data systems , 2016, Comput. Sci. Inf. Syst..

[18]  George Papastefanatos,et al.  Introducing Solon: A Semantic Platform for Managing Legal Sources , 2017, TPDL.

[19]  Akira Shimazu,et al.  Towards Translation of Legal Sentences into Logical Forms , 2007, JSAI.

[20]  John D. Garofalakis,et al.  A semi-automatic system for the consolidation of Greek legislative texts , 2016, PCI.

[21]  R. Winkels The OpenLaws project: Big Open Legal Data , 2015 .

[22]  Camilla Fulton Web Accessibility, Libraries, and the Law , 2011 .

[23]  Margam Madhusudhan,et al.  Online Legal Information System (OLIS) Leveraging Access to Legal Information Resources in Indian Environment , 2016 .

[24]  Ido Dagan,et al.  Knowledge Discovery in Textual Databases (KDT) , 1995, KDD.

[25]  Pompeu Casanovas,et al.  Semantic Web for the Legal Domain: The next step , 2016, Semantic Web.

[26]  Rupali Sunil Wagh,et al.  Knowledge Discovery from Legal Documents Dataset using Text Mining Techniques , 2013 .

[27]  Yannis Charalabidis,et al.  Scientific foundations training and entrepreneurship activities in the domain of ICT-enabled governance , 2018, DG.O.