More Web Proxy on the site http://driver.im/

research-article

A semi-automatic system for the consolidation of Greek legislative texts

Authors:

John Garofalakis,

Konstantinos Plessas,

Athanasios PlessasAuthors Info & Claims

PCI '16: Proceedings of the 20th Pan-Hellenic Conference on Informatics

Article No.: 1, Pages 1 - 6

https://doi.org/10.1145/3003733.3003735

Published: 10 November 2016 Publication History

Abstract

The process of manually consolidating the historical revisions of law documents, by finding and applying in the appropriate chronological order all existing modifications to the original text, is usually tedious and mentally demanding. However, since legal language is highly structured, natural language processing techniques can be adopted to automate this process. In this paper, we present a semi-automatic system for the consolidation of Greek legislative texts, following an approach based on regular expressions. Consolidated versions of laws are pushed in a revision control system, enhancing open access to legislation. A manual step is necessary in order to fix system failures caused by syntax errors or related to wrong application of the legal rules by law makers.

References

[1]

Boella, G., Caro, L.D., Humphreys, L. et al. 2016. Eunomos, a legal document and knowledge management system for the Web to provide relevant, reliable and up-to-date information on the law. Artificial Intelligence and Law, 24(3), 245--283. DOI= http://doi.org/10.1007/s10506-016-9184-3

Digital Library

[2]

Breuker, J., Valente, A., and Winkels, R. 2004. Legal Ontologies in Knowledge Engineering and Information Management. Artificial Intelligence and Law, 12(4), 241--247. DOI= http://doi.org/10.1007/s10506-006-0002-1

Digital Library

[3]

Brighi, R., Lesmo, L., Mazzei, A., Palmirani, M., and Radicioni, D. 2008. Towards Semantic Interpretation of Legal Modifications through Deep Syntactic Analysis. In Legal Knowledge and Information Systems: JURIX 2008: the Twentieth First Annual Conference, 21, 202--206. IOS Press. DOI= http://dx.doi.org/10.3233/978-1-58603-952-3-202

[4]

Garofalakis, J., Plessas, K., and Plessas, A. 2015. Automated analysis of Greek legislative texts for version control: limitations, caveats and challenges. In Proceedings of the 19th Panhellenic Conference on Informatics, 115--116. ACM. DOI= http://dx.doi.org/10.1145/2801948.2802037

Digital Library

[5]

Gianfelice, D., Lesmo, L., Palmirani, M., Perlo, D., and Radicioni, D. 2013. Modificatory provisions detection: a hybrid NLP approach. In Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law (ICAIL '13), ACM, New York, 43--52. DOI= http://dx.doi.org/10.1145/2514601.2514607

Digital Library

[6]

Goźdź-Roszkowski, S. 2011. Patterns of linguistic variation in American legal English: A corpus-based study. Frankfurt am Main: Peter Lang.

[7]

Hillenius, G. 2012. European hacktivists explore use of open source for legal texts. Article published at https://joinup.ec.europa.eu/news/european-hacktivists-explore-use-open-source-legal-texts

[8]

Karamagioli, E., Staiou, E., and Gouscos, D. 2014. Government Spending Transparency on the Internet: An Assessment of Greek Bottom-Up Initiatives over the Diavgeia Project. International Journal of Public Administration in the Digital Age (IJPADA), 1(1), 39--55. DOI= http://doi.org/10.4018/ijpada.2014010103

[9]

Martino, A. 2014. Simplification and Quality of the Legal System. In Language, Culture, Computation. Computing of the Humanities, Law, and Narratives, Springer Berlin Heidelberg, 696--720. DOI= http://doi.org/10.1007/978-3-642-45324-3_17

Digital Library

[10]

Mattila, H. 2007. Comparative legal linguistics. Ashgate Publishing, Ltd.

[11]

Mazzei, A., Radicioni, D., Brighi, R. 2009. NLP-based extraction of modificatory provisions semantics. In Proceedings of the 12th International Conference on Artificial Intelligence and Law (ICAIL '09), ACM, New York, 50--57. DOI= http://dx.doi.org/10.1145/1568234.1568241

Digital Library

[12]

Millard, J. 2013. ICT-enabled public sector innovation: trends and prospects. In Proceedings of the 7th International Conference on Theory and Practice of Electronic Governance (ICEGOV '13), ACM, New York, 77--86. DOI= http://dx.doi.org/10.1145/2591888.2591901

Digital Library

[13]

Ogawa, Y., Inagaki, S., and Toyama, K. 2008. Automatic Consolidation of Japanese Statutes Based on Formalization of Amendment Sentences. New Frontiers in Artificial Intelligence. Springer, Heidelberg, 349--362. DOI= http://doi.org/10.1007/978-3-540-78197-4_34

[14]

Papaloi, A., Gouscos, D. 2014. An Overview of Parliamentary Information Visualization (PIV) Initiatives: Assessing their Completeness and Contribution to Parliamentary Openness. Conference for E-Democracy and Open Government, 389--400.

[15]

Papaloi, A., Gouscos, D. 2013. Parliamentary Information Visualization as a Means for Legislative Transparency and Citizen Empowerment? e-Journal of e-Democracy & Open Government, 5(2), 174--186.

[16]

Robaldo, L., Lesmo, L., & Radicioni, D. 2012. Compiling Regular Expressions to Extract Legal Modi?cations. In Legal Knowledge and Information Systems: JURIX 2012, the Twenty-fifth Annual Conference, 250, 133--141. IOS Press.

[17]

Soria, C., Bartolini, R., Lenci, A., Montemagni, S., and Pirrelli, V. 2007. Automatic Extraction of Semantics in Law Documents. In Proceedings of the V Legislative XML Workshop, European Press Academic Publishing, 253--266.

[18]

Spinosa, P., Giardiello, G., Cherubini, M., Marchi, S., Venturi, G., and Montemagni, S. 2009. NLP-based metadata extraction for legal text consolidation. In Proceedings of the 12th International Conference on Artificial Intelligence and Law (ICAIL '09), ACM, New York, 40--49. DOI= http://dx.doi.org/10.1145/1568234.1568240

Digital Library

[19]

Tzermias, Z., Prevelakis, V., and Ioannidis, S. 2014. Privacy Risks from Public Data Sources. ICT Systems Security and Privacy Protection. Springer Berlin Heidelberg, 156--168. DOI= http://doi.org/10.1007/978-3-642-55415-5_13

Cited By

Krasadakis PSinos EVerykios VSakkopoulos E(2022)Efficient Named Entity Recognition on Greek Legislation2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)10.1109/IISA56318.2022.9904342(1-8)Online publication date: 18-Jul-2022
https://doi.org/10.1109/IISA56318.2022.9904342
Krasadakis PSakkopoulos EVerykios V(2021)A Natural Language Processing Survey on Legislative and Greek DocumentsProceedings of the 25th Pan-Hellenic Conference on Informatics10.1145/3503823.3503898(407-412)Online publication date: 26-Nov-2021
https://dl.acm.org/doi/10.1145/3503823.3503898
Smywiński-Pohl APiech MKaleta ZWróbel KMaranhão JWyner A(2021)Automatic extraction of amendments from polish statutory lawProceedings of the Eighteenth International Conference on Artificial Intelligence and Law10.1145/3462757.3466141(225-229)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3462757.3466141
Show More Cited By

A semi-automatic system for the consolidation of Greek legislative texts
1. Applied computing
2. Computing methodologies
  1. Artificial intelligence

Recommendations

Automated analysis of greek legislative texts for version control: limitations, caveats and challenges
PCI '15: Proceedings of the 19th Panhellenic Conference on Informatics

Greek legislation is produced in the form of texts often containing amendments and references to precedent laws. This structure imposes an increased cognitive complexity and makes it very difficult for citizens to reconstruct the current version of a ...
NLP-based metadata extraction for legal text consolidation
ICAIL '09: Proceedings of the 12th International Conference on Artificial Intelligence and Law

The paper describes a system for the automatic consolidation of Italian legislative texts to be used as a support of an editorial consolidating activity and dealing with the following typology of textual amendments: repeal, substitution and integration. ...
A project for the transformation of greek legal documents into legal open data
PCI '18: Proceedings of the 22nd Pan-Hellenic Conference on Informatics

In modern states, the operation of the three branches of government (executive, legislative and judicial) results in the generation of a huge volume of data (e.g. legislative documents, decisions, reports, statistics etc.). Publication of government ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

PCI '16: Proceedings of the 20th Pan-Hellenic Conference on Informatics

November 2016

449 pages

ISBN:9781450347891

DOI:10.1145/3003733

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

Greek Com Soc: Greek Computer Society
TEI: Technological Educational Institution of Athens

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 November 2016

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

PCI '16

PCI '16: 20th Pan-Hellenic Conference on Informatics

November 10 - 12, 2016

Patras, Greece

Acceptance Rates

Overall Acceptance Rate 190 of 390 submissions, 49%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
113
Total Downloads

Downloads (Last 12 months)19
Downloads (Last 6 weeks)0

Reflects downloads up to 21 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Krasadakis PSinos EVerykios VSakkopoulos E(2022)Efficient Named Entity Recognition on Greek Legislation2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)10.1109/IISA56318.2022.9904342(1-8)Online publication date: 18-Jul-2022
https://doi.org/10.1109/IISA56318.2022.9904342
Krasadakis PSakkopoulos EVerykios V(2021)A Natural Language Processing Survey on Legislative and Greek DocumentsProceedings of the 25th Pan-Hellenic Conference on Informatics10.1145/3503823.3503898(407-412)Online publication date: 26-Nov-2021
https://dl.acm.org/doi/10.1145/3503823.3503898
Smywiński-Pohl APiech MKaleta ZWróbel KMaranhão JWyner A(2021)Automatic extraction of amendments from polish statutory lawProceedings of the Eighteenth International Conference on Artificial Intelligence and Law10.1145/3462757.3466141(225-229)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3462757.3466141
Charalabidis YLachana ZLoutsaris MAlexopoulos C(2020)Automated Analysis and Interrelation of Legal Elements Based on Text MiningInternational Journal of E-Services and Mobile Applications10.4018/IJESMA.202004010512:2(79-96)Online publication date: 1-Apr-2020
https://dl.acm.org/doi/10.4018/IJESMA.2020040105
Garofalakis JPlessas KPlessas ASpiliopoulou PJohn KGrammati PStefanos GChristos D(2018)A project for the transformation of greek legal documents into legal open dataProceedings of the 22nd Pan-Hellenic Conference on Informatics10.1145/3291533.3291548(144-149)Online publication date: 29-Nov-2018
https://dl.acm.org/doi/10.1145/3291533.3291548

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents