Abstract
| Language | English |
|---|---|
| Title of host publication | Proceedings of the MIREL 2018 workshop on MIning and REasoning with Legal texts |
| Publication status | Accepted/In press - 22 Aug 2018 |
| Event | Mining and Reasoning with Legal Texts - Luxembourg City, Luxembourg Duration: 17 Sep 2018 → 17 Sep 2018 https://sites.google.com/view/mirelworkshop2018/welcome (Link to Workshop Website) |
Workshop
| Workshop | Mining and Reasoning with Legal Texts |
|---|---|
| Abbreviated title | MIREL |
| Country | Luxembourg |
| City | Luxembourg City |
| Period | 17/09/18 → 17/09/18 |
| Internet address |
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Legal Reasoning and Big Data : Opportunities and Challenges. / Antoniou, Grigoris; Baryannis, George; Batsakis, Sotirios; Governatori, Guido; Robaldo, Livio; Siragusa, Giovanni; Tachmazidis, Ilias.
Proceedings of the MIREL 2018 workshop on MIning and REasoning with Legal texts. 2018.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Legal Reasoning and Big Data
T2 - Opportunities and Challenges
AU - Antoniou, Grigoris
AU - Baryannis, George
AU - Batsakis, Sotirios
AU - Governatori, Guido
AU - Robaldo, Livio
AU - Siragusa, Giovanni
AU - Tachmazidis, Ilias
PY - 2018/8/22
Y1 - 2018/8/22
N2 - The main underlying assumption of traditional legal knowledge representation and reasoning is that knowledge and data are both available in main memory. However, in the era of big data, where large amounts of data are generated daily, an increasing range of scientific disciplines, as well as business and human activities, are becoming datadriven. This paper discusses new opportunities and potential applications of legal reasoning involving big data as well as the technical challenges associated with the main concepts of the big data landscape, namely volume, velocity, variety and veracity. Future research directions based on the identified challenges are also proposed.
AB - The main underlying assumption of traditional legal knowledge representation and reasoning is that knowledge and data are both available in main memory. However, in the era of big data, where large amounts of data are generated daily, an increasing range of scientific disciplines, as well as business and human activities, are becoming datadriven. This paper discusses new opportunities and potential applications of legal reasoning involving big data as well as the technical challenges associated with the main concepts of the big data landscape, namely volume, velocity, variety and veracity. Future research directions based on the identified challenges are also proposed.
KW - Legal Reasoning
KW - Big Data
KW - Large-Scale Reasoning
M3 - Conference contribution
BT - Proceedings of the MIREL 2018 workshop on MIning and REasoning with Legal texts
ER -