Description
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. In this talk, we will review 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 will also discuss new opportunities and challenges that emerge in relation to reasoning with legal big data, as well as briefly touch upon on the envisioned impact that the advent of large language models can have in this domain.Period | 9 Jul 2023 |
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Event title | Logic Programming and Legal Reasoning |
Event type | Workshop |
Location | London, United KingdomShow on map |
Degree of Recognition | International |
Documents & Links
Related content
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Research output
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Legal Reasoning and Big Data: Opportunities and Challenges
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Large-Scale Legal Reasoning with Rules and Databases
Research output: Contribution to journal › Article › peer-review
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Legal Representation and Reasoning in Practice: A Critical Comparison
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Explainable Reasoning with Legal Big Data: A Layered Framework
Research output: Contribution to journal › Article › peer-review
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Projects
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MIning and REasoning with Legal texts
Project: Research