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Large-Scale Legal Reasoning with Rules and Databases

Livio Robaldo Orcid Logo, Grigoris Antoniou, George Baryannis, Sotiris Batsakis, Guido Governatori, Mohammad Badiul Islam, Qing Liu, Giovanni Siragusa, Ilias Tachmazidis

Journal of Applied Logics, Volume: 8, Issue: 4, Pages: 911 - 939

Swansea University Author: Livio Robaldo Orcid Logo

Abstract

Traditionally, computational knowledge representation and reasoning focused its attention on rich domains such as the law. 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 b...

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Published in: Journal of Applied Logics
ISSN: 2631-9810 2631-9829
Published: College Publication 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa56725
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Abstract: Traditionally, computational knowledge representation and reasoning focused its attention on rich domains such as the law. 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 rangeof scientific disciplines, as well as business and human activities, are becoming data-driven. This chapter summarises existing research on legal representation and reasoning in order to uncover technical challenges associated both with the integration of rules and databases and with the main concepts of the big data landscape. We expect these challenges lead naturally to future research directions towards achieving large scale legal reasoning with rules and databases.
College: Hillary Rodham Clinton School of Law
Issue: 4
Start Page: 911
End Page: 939