Legal Reasoning and Big Data: Opportunities and Challenges

EasyChair Preprint 470

Abstract

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 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.

Keyphrases: Big Data, large-scale reasoning, legal reasoning

@booklet{EasyChair:470,
  author    = {Grigoris Antoniou and George Baryannis and Sotiris Batsakis and Guido Governatori and Livio Robaldo and Giovanni Siragusa and Ilias Tachmazidis},
  title     = {Legal Reasoning and Big Data: Opportunities and Challenges},
  doi       = {10.29007/tkmv},
  howpublished = {EasyChair Preprint 470},
  year      = {EasyChair, 2018}}