1. Αποθετήριο Παραδοτέων Υποτρόφων Δράσεων ΕΣΠΑ Τριτοβάθμιας Εκπαίδευσης 2017-2023
2. Όλο το Αποθετήριο
3. Ερευνητικές ομάδες

Τύπος:	Άρθρο σε επιστημονικό περιοδικό
Τίτλος:	Application of an ecosystem methodology based on legal language processing for the transformation of court decisions and legal opinions into open data
Συγγραφέας:	[EL] Γαροφαλάκης, Ιωάννης[EN] Garofalakis, Ioannis [EL] Πλέσσας, Κωνσταντίνος[EN] Plessas, Konstantinos [EL] Πλέσσας, Αθανάσιος[EN] Plessas, Athanasios A. [EL] Σπηλιοπούλου, Πανωραία[EN] Spiliopoulou, Panoraia
Ημερομηνία:	22/12/2019
Περίληψη:	Regulation of modern societies requires the generation of large sets of heterogeneous legal documents: bills, acts, decrees, administrative decisions, court decisions, legal opinions, circulars, etc. More and more legal publishing bodies publish these documents online, although usually in formats that are not machine-readable and without following Open Data principles. Until an open by default generation and publication process is employed, ex-post transformation of legal documents into Legal Open Data is required. Since manual transformation is a time-consuming and costly process, automated methods need to be applied. While some research efforts toward the automation of the transformation process exist, the alignment of such approaches with proposed Open Data methodologies in order to promote data exploitation is still an open issue. In this paper, we present a methodology aligned to the Open Data ecosystem approach for the automated transformation of Greek court decisions and legal opinions into Legal Open Data that builds on legal language processing methods and tools. We show that this approach produces Legal Open Data of satisfying quality while highly reducing the need for manual intervention.
Γλώσσα:	Αγγλικά
Σελίδες:	30
DOI:	10.3390/info11010010
EISSN:	2078-2489
Θεματική κατηγορία:	[EL] Επιστήμη Ηλεκτρονικών Υπολογιστών και Πληροφορική[EN] Computer and Information Sciences
Λέξεις-κλειδιά:	Akoma Ntoso; legal open data; legal big data; open data ecosystem; natural language processing; domain specific language; legal parsing
Κάτοχος πνευματικών δικαιωμάτων:	© 2019 by the authors. Licensee MDPI
Όροι και προϋποθέσεις δικαιωμάτων:	This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Διατίθεται ανοιχτά στην τοποθεσία:	https://www.mdpi.com/2078-2489/11/1/10
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη:	https://www.mdpi.com/2078-2489/11/1/10
Ηλεκτρονική διεύθυνση περιοδικού:	https://www.mdpi.com/journal/information
Τίτλος πηγής δημοσίευσης:	Information
Τεύχος:	1
Τόμος:	11
Σελίδες τεκμηρίου (στην πηγή):	Article no 10
Σημειώσεις:	(This article belongs to the Section Information Systems) 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
Εμφανίζεται στις συλλογές:	Ερευνητικές ομάδες