Large-Scale Legal Reasoning with Rules and Databases
Grigoris Antoniou, George Baryannis, Sotiris Batsakis, Ilias Tachmazidis, Guido Governatori, Mohammad Badiul Islam, Qing Liu, Livio Robaldo, Giovanni Siragusa · Huddersfield Research Portal (University of Huddersfield) · 2021
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 range of 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.