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Modelling Legal Documents for Their Exploitation as Open Data

  • John Garofalakis
  • Konstantinos Plessas
  • Athanasios PlessasEmail author
  • Panoraia Spiliopoulou
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 353)

Abstract

As our society becomes more and more complex, legal documents are produced at an increasingly fast pace, generating datasets that show many of the characteristics that define Big Data. On the other hand, as the trend of Open Data has spread widely in the government sector nowadays, publication of legal documents in the form of Open Data is expected to yield important benefits. In this paper, we propose the modelling of Greek legal texts based on the Akoma Ntoso document model, which is a necessary step for their representation as Open Data and we describe use cases that show how these massive legal open datasets could be further exploited.

Keywords

Akoma Ntoso Legal text modelling Legal Open Data Legal big data Greek legislation 

Notes

Acknowledgement

The project “Automated Analysis and Processing of Legal Texts for their Transformation into Legal Open Data” is implemented through the Operational Program “Human Resources Development, Education and Lifelong Learning” and is co-financed by the European Union (European Social Fund) and Greek national funds.

References

  1. 1.
    Mazzega, P., Lajaunie, C.: Legal texts as big data: a study case on health issues. In: 3rd International Seminar on Health, Human Rights and Intellectual Property Rights (2017)Google Scholar
  2. 2.
    Wass, C.: Openlaws.eu – building your personal legal network. J. Open Access Law 5(1) (2017)Google Scholar
  3. 3.
    Greenleaf, G., Mowbray, A., Chung, P.: The meaning of free access to legal information: a twenty year evolution. J. Open Access Law 1(1) (2013)Google Scholar
  4. 4.
    Janssen, M., Charalabidis, Y., Zuiderwijk, A.: Benefits, adoption barriers and myths of open data and open government. Inf. syst. Manage. 29(4), 258–268 (2012).  https://doi.org/10.1080/10580530.2012.716740CrossRefGoogle Scholar
  5. 5.
    Agnoloni, T., Francesconi, E., Sagri, M.T., Tiscornia, D.: Linked data in the legal domain. In: Proceedings of ITAIS 2011, AIS, Rome (2011)Google Scholar
  6. 6.
    Zuiderwijk, A., Janssen, M., Choenni, S., Meijer, R., Alibaks, R.S.: Socio-technical impediments of open data. Electron. J. e-Government 10(2), 156–172 (2012)Google Scholar
  7. 7.
    Casanovas, P., Palmirani, M., Peroni, S., van Engers, T., Vitali, F.: Semantic web for the legal domain: the next step. Semant. Web 7(3), 213–227 (2016).  https://doi.org/10.3233/SW-160224CrossRefGoogle Scholar
  8. 8.
    Gen, K., Akira, N., Makoto, M., Yasuhiro, O., Tomohiro, O., Katsuhiko, T.: Applying the Akoma Ntoso XML schema to Japanese legislation. J. Law Inf. Sci. 24(2), 49–70 (2016)Google Scholar
  9. 9.
    Hallo, M., Luján-Mora, S., Mate, A.: Data model for storage and retrieval of legislative documents in digital libraries using linked data. In: 7th International Conference on Education and New Learning Technologies, Barcelona, pp. 7423–7430. IATED (2015)Google Scholar
  10. 10.
    Gostojic, S., Konjovic, Z., Milosavljevic, B.: Modeling MetaLex/CEN compliant legal acts. In: IEEE 8th International Symposium on Intelligent Systems and Informatics, Subotica, pp. 285–290. IEEE (2010).  https://doi.org/10.1109/sisy.2010.5647452
  11. 11.
    Marković, M., Gostojić, S., Konjović, Z., Laanpere, M.: Machine-readable identification and representation of judgments in Serbian judiciary. Novi Sad J. Math. 44(1), 165–182 (2014)MathSciNetzbMATHGoogle Scholar
  12. 12.
    Ceci, M., Palmirani, M.: Ontology framework for judgment modelling. In: Palmirani, M., Pagallo, U., Casanovas, P., Sartor, G. (eds.) AICOL 2011. LNCS (LNAI), vol. 7639, pp. 116–130. Springer, Heidelberg (2012).  https://doi.org/10.1007/978-3-642-35731-2_8CrossRefGoogle Scholar
  13. 13.
    Oksanen, A., Tuominen, J., Mäkelä, E., Tamper, M., Hietanen, A., Hyvönen, E.: Law and justice as a linked open data service. Draft PaperGoogle Scholar
  14. 14.
    Boella, G., et al.: Linking legal open data: breaking the accessibility and language barrier in European legislation and case law. In: Proceedings of the 15th International Conference on Artificial Intelligence and Law, pp. 171–175. ACM (2015).  https://doi.org/10.1145/2746090.2746106
  15. 15.
    Koniaris, M., Papastefanatos, G., Vassiliou, Y.: Towards automatic structuring and semantic indexing of legal documents. In: Proceedings of the 20th Pan-Hellenic Conference on Informatics. ACM (2016).  https://doi.org/10.1145/3003733.3003801
  16. 16.
    Angelidis, I., Chalkidis, I., Nikolaou, C., Soursos, P., Koubarakis, M.: Nomothesia: a linked data platform for Greek legislation. In: MIREL 2018 Workshop (accepted paper)Google Scholar
  17. 17.
    Beris, T., Koubarakis, M.: Modeling and preserving Greek government decisions using semantic web technologies and permissionless blockchains. In: Gangemi, A., et al. (eds.) ESWC 2018. LNCS, vol. 10843, pp. 81–96. Springer, Cham (2018).  https://doi.org/10.1007/978-3-319-93417-4_6CrossRefGoogle Scholar
  18. 18.
    Garofalakis, J., Plessas, K., Plessas, A., Spiliopoulou, P.: A project for the transformation of Greek legal documents into legal open data. In: 22nd Pan-Hellenic Conference on Informatics. ACM (2018).  https://doi.org/10.1145/3291533.3291548
  19. 19.
    Palmirani, M., Vitali, F.: Akoma-Ntoso for legal documents. In: Sartor, G., Palmirani, M., Francesconi, E., Biasiotti, M. (eds.) Legislative XML for the Semantic Web. LGTS, vol. 4, pp. 75–100. Springer, Dordrecht (2011).  https://doi.org/10.1007/978-94-007-1887-6_6CrossRefGoogle Scholar
  20. 20.
    Opijnen, M.: European case law identifier: indispensable asset for legal information retrieval. In: Biasiotti, M.A., Faro, S. (eds.) From Information to Knowledge – Online Access to Legal Information: Methodologies, Trends and Perspectives. Frontiers in Artificial Intelligence and Applications, pp. 91–103. IOS Press, Amsterdam (2011)Google Scholar
  21. 21.
    Palmirani, M.: Legislative change management with Akoma-Ntoso. In: Sartor, G., Palmirani, M., Francesconi, E., Biasiotti, M. (eds.) Legislative XML for the Semantic Web. LGTS, vol. 4, pp. 101–130. Springer, Dordrecht (2011).  https://doi.org/10.1007/978-94-007-1887-6_7CrossRefGoogle Scholar
  22. 22.
    Koniaris, M., Anagnostopoulos, I., Vassiliou, Y.: Network analysis in the legal domain: a complex model for European Union legal sources. J. Complex Netw. 6(2), 243–268 (2017).  https://doi.org/10.1093/comnet/cnx029CrossRefGoogle Scholar
  23. 23.
    Branting, L.: Data-centric and logic-based models for automated legal problem solving. Artif. Intell. Law 25(1), 5–27 (2017).  https://doi.org/10.1007/s10506-017-9193-xCrossRefGoogle Scholar
  24. 24.
    Athan, T., Governatori, G., Palmirani, M., Paschke, A., Wyner, A.: LegalRuleML: design principles and foundations. In: Faber, W., Paschke, A. (eds.) Reasoning Web 2015. LNCS, vol. 9203, pp. 151–188. Springer, Cham (2015).  https://doi.org/10.1007/978-3-319-21768-0_6CrossRefGoogle Scholar
  25. 25.
    Palmirani, M., Governatori, G.: Modelling legal knowledge for GDPR compliance checking. In: The 31st International Conference on Legal Knowledge and Information Systems, pp. 101–110. IOS Press (2018)Google Scholar
  26. 26.
    Ciaghi, A., Villafiorita, A.: Improving public administrations via law modeling and BPR. In: Popescu-Zeletin, R., Rai, I.A., Jonas, K., Villafiorita, A. (eds.) AFRICOMM 2010. LNICST, vol. 64, pp. 69–78. Springer, Heidelberg (2011).  https://doi.org/10.1007/978-3-642-23828-4_7CrossRefGoogle Scholar
  27. 27.
    Anderson, K.M.: Embrace the challenges: software engineering in a big data world. In: IEEE/ACM 1st International Workshop on Big Data Software Engineering, pp. 19–25. IEEE (2015).  https://doi.org/10.1109/bigdse.2015.12
  28. 28.
    Alexopoulos, C., Loukis, E., Mouzakitis, S., Petychakis, M., Charalabidis, Y.: Analysing the characteristics of open government data sources in Greece. J. Knowl. Econ. 9(3), 721–753 (2018).  https://doi.org/10.1007/s13132-015-0298-8CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • John Garofalakis
    • 1
  • Konstantinos Plessas
    • 1
  • Athanasios Plessas
    • 1
    Email author
  • Panoraia Spiliopoulou
    • 2
  1. 1.Department of Computer Engineering and InformaticsUniversity of PatrasPatrasGreece
  2. 2.School of LawNational and Kapodistrian University of AthensAthensGreece

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