Legal knowledge and information systems: JURIX 2020 : the thirty-third annual conference, BRNO, Czech Republic, December 9-11, 2020
"The field of legal knowledge and information systems has traditionally been concerned with the subjects of legal knowledge representation and engineering, computational models of legal reasoning, and the analysis of legal data, but recent years have also seen an increasing interest in the appl...
Gespeichert in:
| Körperschaft: | |
|---|---|
| Weitere Verfasser: | , , |
| Format: | Elektronisch Tagungsbericht E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam ; Berlin ; Washington, DC
IOS Press
[2020]
|
| Schriftenreihe: | Frontiers in artificial intelligence and applications
volume 334 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "The field of legal knowledge and information systems has traditionally been concerned with the subjects of legal knowledge representation and engineering, computational models of legal reasoning, and the analysis of legal data, but recent years have also seen an increasing interest in the application of machine learning methods to ease and empower the everyday activities of legal experts. This book presents the proceedings of the 33rd International Conference on Legal Knowledge and Information Systems (JURIX 2020), organised this year as a virtual event on 9-11 December 2020 due to restrictions resulting from the Covid-19 pandemic. For more than three decades, the annual JURIX international conference, which now also includes demo papers, has provided a platform for academics and practitioners to exchange knowledge about theoretical research and applications in concrete legal use cases. A total of 85 submissions by 255 authors from 28 countries were received for the conference, and after a rigorous review process, 20 were selected for publication as full papers, 14 as short papers, and 5 as demo papers. This selection process resulted in a total acceptance rate of 40% (full and short papers) and a competitive 23.5% acceptance rate for full papers. Topics span from computational models of legal argumentation, case-based reasoning, legal ontologies, smart contracts, privacy management and evidential reasoning to information extraction from different types of text in legal documents, and ethical dilemmas. Providing a state-of-the-art overview of developments in the field, this book will be of interest to all those working with legal knowledge and information systems"-- |
| Beschreibung: | Includes bibliographical references and indexes Open Access |
| Beschreibung: | 1 Online-Ressource (xii, 290 Seiten) Illustrationen |
| ISBN: | 9781643681511 |
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Datensatz im Suchindex
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| id | DE-604.BV048990975 |
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| index_date | 2024-07-03T22:07:07Z |
| indexdate | 2024-07-10T09:52:11Z |
| institution | BVB |
| institution_GND | (DE-588)1233771140 |
| isbn | 9781643681511 |
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| series | Frontiers in artificial intelligence and applications |
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| spelling | JURIX 33. 2020 Online Verfasser (DE-588)1233771140 aut Legal knowledge and information systems JURIX 2020 : the thirty-third annual conference, BRNO, Czech Republic, December 9-11, 2020 edited by Serena Villata, Jakub Harašta and Petr Křemen Amsterdam ; Berlin ; Washington, DC IOS Press [2020] © 2020 1 Online-Ressource (xii, 290 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Frontiers in artificial intelligence and applications volume 334 Includes bibliographical references and indexes Open Access "The field of legal knowledge and information systems has traditionally been concerned with the subjects of legal knowledge representation and engineering, computational models of legal reasoning, and the analysis of legal data, but recent years have also seen an increasing interest in the application of machine learning methods to ease and empower the everyday activities of legal experts. This book presents the proceedings of the 33rd International Conference on Legal Knowledge and Information Systems (JURIX 2020), organised this year as a virtual event on 9-11 December 2020 due to restrictions resulting from the Covid-19 pandemic. For more than three decades, the annual JURIX international conference, which now also includes demo papers, has provided a platform for academics and practitioners to exchange knowledge about theoretical research and applications in concrete legal use cases. A total of 85 submissions by 255 authors from 28 countries were received for the conference, and after a rigorous review process, 20 were selected for publication as full papers, 14 as short papers, and 5 as demo papers. This selection process resulted in a total acceptance rate of 40% (full and short papers) and a competitive 23.5% acceptance rate for full papers. Topics span from computational models of legal argumentation, case-based reasoning, legal ontologies, smart contracts, privacy management and evidential reasoning to information extraction from different types of text in legal documents, and ethical dilemmas. Providing a state-of-the-art overview of developments in the field, this book will be of interest to all those working with legal knowledge and information systems"-- Information Retrieval (DE-588)4072803-1 gnd rswk-swf Informationssystem (DE-588)4072806-7 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Law / Methodology / Automation / Congresses Artificial intelligence / Congresses Information storage and retrieval systems / Law / Congresses (DE-588)1071861417 Konferenzschrift gnd-content Informationssystem (DE-588)4072806-7 s Information Retrieval (DE-588)4072803-1 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Villata, Serena edt Harašta, Jakub (DE-588)1099443636 edt Křemen, Petr edt Erscheint auch als Druck-Ausgabe 978-1-64368-150-4 Frontiers in artificial intelligence and applications volume 334 (DE-604)BV044780090 334 https://ebooks.iospress.nl/isbn/978-1-64368-151-1 Verlag kostenfrei Volltext |
| spellingShingle | Legal knowledge and information systems JURIX 2020 : the thirty-third annual conference, BRNO, Czech Republic, December 9-11, 2020 Frontiers in artificial intelligence and applications Information Retrieval (DE-588)4072803-1 gnd Informationssystem (DE-588)4072806-7 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4072803-1 (DE-588)4072806-7 (DE-588)4193754-5 (DE-588)1071861417 |
| title | Legal knowledge and information systems JURIX 2020 : the thirty-third annual conference, BRNO, Czech Republic, December 9-11, 2020 |
| title_auth | Legal knowledge and information systems JURIX 2020 : the thirty-third annual conference, BRNO, Czech Republic, December 9-11, 2020 |
| title_exact_search | Legal knowledge and information systems JURIX 2020 : the thirty-third annual conference, BRNO, Czech Republic, December 9-11, 2020 |
| title_exact_search_txtP | Legal knowledge and information systems JURIX 2020 : the thirty-third annual conference, BRNO, Czech Republic, December 9-11, 2020 |
| title_full | Legal knowledge and information systems JURIX 2020 : the thirty-third annual conference, BRNO, Czech Republic, December 9-11, 2020 edited by Serena Villata, Jakub Harašta and Petr Křemen |
| title_fullStr | Legal knowledge and information systems JURIX 2020 : the thirty-third annual conference, BRNO, Czech Republic, December 9-11, 2020 edited by Serena Villata, Jakub Harašta and Petr Křemen |
| title_full_unstemmed | Legal knowledge and information systems JURIX 2020 : the thirty-third annual conference, BRNO, Czech Republic, December 9-11, 2020 edited by Serena Villata, Jakub Harašta and Petr Křemen |
| title_short | Legal knowledge and information systems |
| title_sort | legal knowledge and information systems jurix 2020 the thirty third annual conference brno czech republic december 9 11 2020 |
| title_sub | JURIX 2020 : the thirty-third annual conference, BRNO, Czech Republic, December 9-11, 2020 |
| topic | Information Retrieval (DE-588)4072803-1 gnd Informationssystem (DE-588)4072806-7 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Information Retrieval Informationssystem Maschinelles Lernen Konferenzschrift |
| url | https://ebooks.iospress.nl/isbn/978-1-64368-151-1 |
| volume_link | (DE-604)BV044780090 |
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