2019
Garofalakis, John; Plessas, Konstantinos; Plessas, Athanasios; Spiliopoulou, Panoraia
Modelling Legal Documents For Their Exploitation As Open Data Proceedings Article
In: Abramowicz, Witold; Corchuelo, Rafael (Ed.): Business Information Systems. BIS 2019., pp. 30-44, Springer, Cham, 2019, ISBN: 978-3-030-20484-6.
Abstract | Links | BibTeX | Ετικέτες: Akoma Ntoso, Greek legislation, Legal Open Data, Modelling
@inproceedings{Garofalakis2019,
title = {Modelling Legal Documents For Their Exploitation As Open Data},
author = {John Garofalakis and Konstantinos Plessas and Athanasios Plessas and Panoraia Spiliopoulou},
editor = {Witold Abramowicz and Rafael Corchuelo},
url = {https://link.springer.com/chapter/10.1007/978-3-030-20485-3_3},
doi = {10.1007/978-3-030-20485-3_3},
isbn = {978-3-030-20484-6},
year = {2019},
date = {2019-05-18},
booktitle = {Business Information Systems. BIS 2019.},
volume = {353},
pages = {30-44},
publisher = {Springer, Cham},
series = {Lecture Notes in Business Information Processing},
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, Greek legislation, Legal Open Data, Modelling},
pubstate = {published},
tppubtype = {inproceedings}
}
2018
Garofalakis, John; Plessas, Konstantinos; Plessas, Athanasios; Spiliopoulou, Panoraia
A Project for the Transformation of Greek Legal Documents into Legal Open Data Proceedings Article
In: Proceedings of the 22th Pan-Hellenic Conference on Informatics, ACM, New York, NY, USA, 2018, ISBN: 978-1-4503-6610-6.
Abstract | Links | BibTeX | Ετικέτες: Akoma Ntoso, Greek legislation, Legal Open Data, Legal Text Analysis
@inproceedings{Garofalakis2018,
title = {A Project for the Transformation of Greek Legal Documents into Legal Open Data},
author = {John Garofalakis and Konstantinos Plessas and Athanasios Plessas and Panoraia Spiliopoulou},
doi = {10.1145/3291533.3291548},
isbn = {978-1-4503-6610-6},
year = {2018},
date = {2018-11-30},
booktitle = {Proceedings of the 22th Pan-Hellenic Conference on Informatics},
publisher = {ACM},
address = {New York, NY, USA},
series = {PCI '18},
abstract = {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 data in the form of Open Data is expected, among other benefits, to drive economic development and promote transparency. This is also true for legal data, since new services for citizens, companies, legal professionals and governments could emerge as a result of the availability of Legal Open Data. Since such information is usually published in unstructured formats, automated approaches could highly facilitate the transformation of unstructured data into structured Open Data, according to the 5-star Open Data scheme. In this paper, we present an ongoing project about the automated analysis and processing of Greek legal documents for their transformation into Legal Open Data. We briefly review the current state of Legal Open Data in Greece, we present the project’s research questions and analyze our initial thoughts for the implementation methodology; we discuss the challenges of such an effort and finally we elaborate the expected contributions.},
keywords = {Akoma Ntoso, Greek legislation, Legal Open Data, Legal Text Analysis},
pubstate = {published},
tppubtype = {inproceedings}
}
2016
Garofalakis, John; Plessas, Konstantinos; Plessas, Athanasios
A semi-automatic system for the consolidation of Greek legislative texts Proceedings Article
In: Proceedings of the 20th Pan-Hellenic Conference on Informatics, pp. 1:1–1:6, ACM, New York, NY, USA, 2016, ISBN: 978-1-4503-4789-1.
Abstract | Links | BibTeX | Ετικέτες: Greek legislation, law revisions, law text analysis, natural language processing, regular expressions
@inproceedings{Garofalakis2016,
title = {A semi-automatic system for the consolidation of Greek legislative texts},
author = {John Garofalakis and Konstantinos Plessas and Athanasios Plessas},
url = {http://doi.acm.org/10.1145/3003733.3003735
https://dl.dropboxusercontent.com/u/104921582/pci2016_presentation.pdf},
doi = {10.1145/3003733.3003735},
isbn = {978-1-4503-4789-1},
year = {2016},
date = {2016-11-12},
booktitle = {Proceedings of the 20th Pan-Hellenic Conference on Informatics},
pages = {1:1--1:6},
publisher = {ACM},
address = {New York, NY, USA},
series = {PCI '16},
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.},
keywords = {Greek legislation, law revisions, law text analysis, natural language processing, regular expressions},
pubstate = {published},
tppubtype = {inproceedings}
}
Garofalakis, John; Plessas, Konstantinos; Plessas, Athanasios
Automatic identification, extraction and application of textual amendments in Greek legislative texts Proceedings Article
In: Legal Knowledge and Information Systems. JURIX 2016: The Twenty-Ninth Annual Conference, pp. 187-190, IOS Press, 2016, ISBN: 978-1-61499-726-9.
Abstract | Links | BibTeX | Ετικέτες: Greek legislation, legal Artificial Intelligence, natural language processing, regular expressions, textual amendments
@inproceedings{Garofalakis2016b,
title = {Automatic identification, extraction and application of textual amendments in Greek legislative texts},
author = {John Garofalakis and Konstantinos Plessas and Athanasios Plessas},
url = {http://ebooks.iospress.nl/publication/45757},
doi = {10.3233/978-1-61499-726-9-187},
isbn = {978-1-61499-726-9},
year = {2016},
date = {2016-10-12},
booktitle = {Legal Knowledge and Information Systems. JURIX 2016: The Twenty-Ninth Annual Conference},
volume = {294},
pages = {187-190},
publisher = {IOS Press},
series = { Frontiers in Artificial Intelligence and Applications},
abstract = {The automatic analysis of legislative texts using Natural Language Processing techniques is able to facilitate several tasks related to the legislation lifecycle, such as the consolidation of different versions of legal documents. We present our work on the automatic identification, extraction and application of textual amendments in Greek legislative texts, based on pattern matching with regular expressions, which is part of a semi-automatic system for the consolidation of Greek laws.},
keywords = {Greek legislation, legal Artificial Intelligence, natural language processing, regular expressions, textual amendments},
pubstate = {published},
tppubtype = {inproceedings}
}