Legal Knowledge and Information Systems : JURIX 2019: The Thirty-second Annual Conference
Saved in:
| Title: | Legal Knowledge and Information Systems : JURIX 2019: The Thirty-second Annual Conference |
|---|---|
| Description: | In recent years, the application of machine learning tools to legally relevant tasks has become much more prevalent, and the growing influence of AI in the legal sphere has prompted the profession to take more of an interest in the explainability, trustworthiness, and responsibility of intelligent systems. This book presents the proceedings of the 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019), held in Madrid, Spain, from 11 to 13 December 2019. Traditionally focused on legal knowledge representation and engineering, computational models of legal reasoning, and analyses of legal data, more recently the conference has also encompassed the use of machine learning tools. A total of 81 submissions were received for the conference, of which 14 were selected as full papers and 17 as short papers. A further 3 submissions were accepted as demo presentations, resulting in a total acceptance rate of 41.98%, with a competitive 25.5% acceptance rate for full papers. The 34 papers presented here cover a broad range of topics, from computational models of legal argumentation, case-based reasoning, legal ontologies, and evidential reasoning, through classification of different types of text in legal documents and comparing similarities, to the relevance of judicial decisions to issues of governmental transparency. The book will be of interest to all those whose work involves the use of knowledge and information systems in the legal sphere. |
| Authors: | Víctor Rodríguez-Doncel |
| Resource Type: | eBook. |
| Subjects: | Artificial intelligence--Congresses, Information storage and retrieval systems--Law--Congresses, Law--Methodology--Automation--Congresses |
| Categories: | COMPUTERS / Artificial Intelligence / General |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
|---|---|
| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 2345986 RelevancyScore: 1090 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 1090.09973144531 |
| IllustrationInfo | |
| ImageInfo | – Size: thumb Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$2345986$PDF&s=r – Size: medium Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$2345986$PDF&s=d |
| Items | – Name: Title Label: Title Group: Ti Data: Legal Knowledge and Information Systems : JURIX 2019: The Thirty-second Annual Conference – Name: Abstract Label: Description Group: Ab Data: In recent years, the application of machine learning tools to legally relevant tasks has become much more prevalent, and the growing influence of AI in the legal sphere has prompted the profession to take more of an interest in the explainability, trustworthiness, and responsibility of intelligent systems. This book presents the proceedings of the 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019), held in Madrid, Spain, from 11 to 13 December 2019. Traditionally focused on legal knowledge representation and engineering, computational models of legal reasoning, and analyses of legal data, more recently the conference has also encompassed the use of machine learning tools. A total of 81 submissions were received for the conference, of which 14 were selected as full papers and 17 as short papers. A further 3 submissions were accepted as demo presentations, resulting in a total acceptance rate of 41.98%, with a competitive 25.5% acceptance rate for full papers. The 34 papers presented here cover a broad range of topics, from computational models of legal argumentation, case-based reasoning, legal ontologies, and evidential reasoning, through classification of different types of text in legal documents and comparing similarities, to the relevance of judicial decisions to issues of governmental transparency. The book will be of interest to all those whose work involves the use of knowledge and information systems in the legal sphere. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Víctor+Rodríguez-Doncel%22">Víctor Rodríguez-Doncel</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence--Congresses%22">Artificial intelligence--Congresses</searchLink><br /><searchLink fieldCode="DE" term="%22Information+storage+and+retrieval+systems--Law--Congresses%22">Information storage and retrieval systems--Law--Congresses</searchLink><br /><searchLink fieldCode="DE" term="%22Law--Methodology--Automation--Congresses%22">Law--Methodology--Automation--Congresses</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=2345986 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 340.1 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Artificial intelligence--Congresses Type: general – SubjectFull: Information storage and retrieval systems--Law--Congresses Type: general – SubjectFull: Law--Methodology--Automation--Congresses Type: general Titles: – TitleFull: Legal Knowledge and Information Systems : JURIX 2019: The Thirty-second Annual Conference Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Víctor Rodríguez-Doncel – PersonEntity: Name: NameFull: Víctor Rodríguez-Doncel IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2019 – D: 15 M: 01 Type: profile Y: 2020 Identifiers: – Type: isbn-print Value: 9781643680484 – Type: isbn-electronic Value: 9781643680491 Numbering: – Type: volume Value: 00322 Titles: – TitleFull: Legal Knowledge and Information Systems : JURIX 2019: The Thirty-second Annual Conference Type: main |
| ResultId | 1 |