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Large-Scale Legal Reasoning with Rules and Databases
Livio Robaldo
,
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
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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 b...
Published in: | Journal of Applied Logics |
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ISSN: | 2631-9810 2631-9829 |
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2021
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URI: | https://cronfa.swan.ac.uk/Record/cronfa56725 |
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2021-08-11T12:30:37.4316500 v2 56725 2021-04-23 Large-Scale Legal Reasoning with Rules and Databases b711cf9f3a7821ec52bd1e53b4f6cf9e 0000-0003-4713-8990 Livio Robaldo Livio Robaldo true false 2021-04-23 LAWD 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. Journal Article Journal of Applied Logics 8 4 911 939 College Publication 2631-9810 2631-9829 1 5 2021 2021-05-01 https://www.collegepublications.co.uk/ifcolog/?00046 COLLEGE NANME Law COLLEGE CODE LAWD Swansea University 2021-08-11T12:30:37.4316500 2021-04-23T14:37:23.5849174 Faculty of Humanities and Social Sciences Hilary Rodham Clinton School of Law Livio Robaldo 0000-0003-4713-8990 1 Grigoris Antoniou 2 George Baryannis 3 Sotiris Batsakis 4 Guido Governatori 5 Mohammad Badiul Islam 6 Qing Liu 7 Giovanni Siragusa 8 Ilias Tachmazidis 9 56725__19978__eac2f3a4970841eb9e4d71f9d42c9394.pdf 56725.pdf 2021-05-24T13:11:25.6384087 Output 1353630 application/pdf Version of Record true true eng |
title |
Large-Scale Legal Reasoning with Rules and Databases |
spellingShingle |
Large-Scale Legal Reasoning with Rules and Databases Livio Robaldo |
title_short |
Large-Scale Legal Reasoning with Rules and Databases |
title_full |
Large-Scale Legal Reasoning with Rules and Databases |
title_fullStr |
Large-Scale Legal Reasoning with Rules and Databases |
title_full_unstemmed |
Large-Scale Legal Reasoning with Rules and Databases |
title_sort |
Large-Scale Legal Reasoning with Rules and Databases |
author_id_str_mv |
b711cf9f3a7821ec52bd1e53b4f6cf9e |
author_id_fullname_str_mv |
b711cf9f3a7821ec52bd1e53b4f6cf9e_***_Livio Robaldo |
author |
Livio Robaldo |
author2 |
Livio Robaldo Grigoris Antoniou George Baryannis Sotiris Batsakis Guido Governatori Mohammad Badiul Islam Qing Liu Giovanni Siragusa Ilias Tachmazidis |
format |
Journal article |
container_title |
Journal of Applied Logics |
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8 |
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4 |
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911 |
publishDate |
2021 |
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Swansea University |
issn |
2631-9810 2631-9829 |
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College Publication |
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Faculty of Humanities and Social Sciences |
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Faculty of Humanities and Social Sciences |
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Faculty of Humanities and Social Sciences |
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Hilary Rodham Clinton School of Law{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}Hilary Rodham Clinton School of Law |
url |
https://www.collegepublications.co.uk/ifcolog/?00046 |
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description |
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. |
published_date |
2021-05-01T04:11:54Z |
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1763753815504322560 |
score |
11.021648 |