Network, Visualization, Analytics. A Tool Allowing Legal Scholars to Experimentally Investigate EU Case Law
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 10791, Page: 543-555
2018
- 3Citations
- 6Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Book Chapter Description
Legal Informatics has recently witnessed a growing interest towards the insights offered by the intersection among Network Analysis (NA), visualization techniques and legal science research questions. Also thanks to several seminal works, the field is ready to tackle new challenges at a theoretical and application level. The first is to bring the network approach into “genuinely legal” research questions. The second is to create tools allowing legal scholars without technical skills to exploit NA with two goals: (i) make experiments with NA and push new ideas both in legal and NA science; (ii) use NA and visualization in their daily activities (e.g., legal analysis and information retrieval). Against this backdrop, a truly interdisciplinary approach deeply involving legal experts/scholars is needed. The paper presents an ongoing research project - EUCaseNet - dealing with these challenges and aiming to explore the potentialities of NA in supporting the study of EU case law.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85064436759&origin=inward; http://dx.doi.org/10.1007/978-3-030-00178-0_37; http://link.springer.com/10.1007/978-3-030-00178-0_37; http://link.springer.com/content/pdf/10.1007/978-3-030-00178-0_37; https://dx.doi.org/10.1007/978-3-030-00178-0_37; https://link.springer.com/chapter/10.1007/978-3-030-00178-0_37
Springer Science and Business Media LLC
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