TY - JOUR
T1 - Explainable Reasoning with Legal Big Data
T2 - A Layered Framework
AU - Antoniou, Grigoris
AU - Atkinson, Katie
AU - Baryannis, George
AU - Batsakis, Sotiris
AU - Caro, Luigi Di
AU - Governatori, Guido
AU - Robaldo, Livio
AU - Siragusa, Giovanni
AU - Tachmazidis, Ilias
N1 - Publisher Copyright:
© 2022, College Publications. All rights reserved.
PY - 2022/7/1
Y1 - 2022/7/1
N2 - Knowledge representation and reasoning in the legal domain has primarily focused on case studies where knowledge and data can fit in main memory. However, this assumption no longer applies in the era of big data, where large amounts of data are generated daily. This paper discusses new opportunities and challenges that emerge in relation to reasoning with legal big data and the concepts of volume, velocity, variety and veracity. A four-layer legal big data framework is proposed to manage the complete lifecycle of legal big data from sourcing, processing and storage, to reasoning, analysis and consumption. Within each layer, a number of relevant future research directions are also identified, which can facilitate the realisation of knowledge-rich legal big data solutions.
AB - Knowledge representation and reasoning in the legal domain has primarily focused on case studies where knowledge and data can fit in main memory. However, this assumption no longer applies in the era of big data, where large amounts of data are generated daily. This paper discusses new opportunities and challenges that emerge in relation to reasoning with legal big data and the concepts of volume, velocity, variety and veracity. A four-layer legal big data framework is proposed to manage the complete lifecycle of legal big data from sourcing, processing and storage, to reasoning, analysis and consumption. Within each layer, a number of relevant future research directions are also identified, which can facilitate the realisation of knowledge-rich legal big data solutions.
KW - Legal big data
KW - Explainable reasoning
KW - Knowledge representation
UR - http://www.scopus.com/inward/record.url?scp=85132399168&partnerID=8YFLogxK
UR - http://www.collegepublications.co.uk/ifcolog/?00056
M3 - Article
AN - SCOPUS:85132399168
VL - 9
SP - 1155
EP - 1170
JO - Journal of Applied Logics
JF - Journal of Applied Logics
SN - 2631-9810
IS - 4
ER -