EU-wide Legal Text Mining using Big Data Processing Infrastructures, delivering Advanced Services for Citizens, Businesses and Administrations

Description

The ManyLaws Project (EU-wide Legal Text Mining using Big Data Processing Infrastructures) is a platform set up to deliver a set of services for citizens, businesses and administrations in the European Union, Austria and Greece. The Action's overall objective is to enable access to legal information across the European Union and improve the efficacy of decision making in legislative procedures operated by public bodies. Specifically, the Action will set-up a platform (ManyLaws) which will deliver a set of services for citizens, businesses and administrations built upon text mining, advanced processing and semantic analysis of laws of the European Union, Austria, and Greece. The addition of laws from other Member States will be explored and, if possible, implemented. Moreover, these services will be tested within at least two law making procedures of the Greek and Austrian Parliament.

Details

Publications

Virkar, S.; Novak, A.-S. (2019). Investigating Patterns of Legal Information Access and Use in Greece and Austria: Towards Defining a Legal Information Environment for eGovernment. In: EGOV-CeDEM-ePart 2019 - Proceedings of Ongoing Research, Practitioners, Posters, Workshops, and Projects of the International Conference EGOV-CeDEM-ePart 2019, 2019: 32-40, Creative Commons License Attribution 4.0, International

Virkar, S.; Novak, A.-S.; Charalabidis, Y.; Tsekeridou, S.; Stavropoulou, S.; Romas, I.; Schefbeck, G. (2019). Decision Support by Design: Exploring UserCentred Design of Legal Information Retrieval Systems in the Context of E-Government Research. In: EGOV-CeDEM-ePart 2019 - Proceedings of Ongoing Research, Practitioners, Posters, Workshops, and Projects of the International Conference EGOV-CeDEM-ePart 2019, 2019: 223-226, Creative Commons License Attribution 4.0, International

Virkar, S.; Udokwu, C.; Novak, A.-S.; Tsekeridou, S. (2019). Facilitating Public Access to Legal Information: A Conceptual Model for Designing an Agile Data-driven Decision Support System. In: 2nd International Data Science Conference 2019 Proceedings, Springer, Cham: 77-82, Springer Vieweg, Wiesbaden

Charalabidis, Y.; Loutsaris, M.A.; Virkar, S.; Alexopoulos, C.; Novak, A.-S.; Lachana, Z. (2019). Use Case Scenarios on Legal Text Mining. ICEGOV 2019, 12th International Conference on Theory and Practice of Electronic Governance, 3-5 April 2019- Proceedings, 3-5 April 2019: 364

Novak, A.; Udokwu C.; Alexopoulos C.; Loutsaris M.; Virkar S. (2019). Mining Legislation: An Analysis of Legal and Technical Implications. Jusletter IT, 21. Februar 2019: 136

Virkar, S.; Novak, A.S., Alexopoulos, C.; Charalabidis, Y.; Loutsaris, M. (2018). Examining the Technical, Legal and Ethical Implications of Improved Access to Legal Information Using Supercomputing Technology: The ManyLaws Project. The University of Groningen, Online

Lectures

Legal Analytics in the Service of Law-Making: The ManyLaws Project

LEX Summer School, Ravenna, Italy, 14/09/2019

Legal Analytics in the Service of Law-Making: The ManyLaws Project

Internationales Rechtsinformatik Symposion IRIS 2019, 23/02/2019

Mining Legislation: An Analysis of Legal and Technical Implications

Internationales Rechtsinformatik Symposion IRIS 2019, 23/02/2019

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