Home // ICONS 2020, The Fifteenth International Conference on Systems // View article

Publishing and Retrieval System for Traffic Court Cases

Authors:
Wei Kit Shiu
Chai Kiat Yeo

Keywords: traffic court cases; intelligent document retrieval system; natural language processing; automated text extraction

Abstract:
This paper details the design and development of a web-based publishing and retrieval system for traffic court cases. This proof-of-concept is meant to complement and in time to come, replace, existing manual processes of doing legal research for traffic court cases. Currently, legal staff have to manually browse through practitioners’ library and motor accident guide books to look at precedents for the assessment of damages in personal injuries and fatal accidents. The system automatically extracts key information of the court cases to allow retrieving of relevant court cases from a search query term by professionals such as judges, lawyers, insurers, as well as the public for their research and references.

Pages: 17 to 21

Copyright: Copyright (c) IARIA, 2020

Publication date: February 23, 2020

Published in: conference

ISSN: 2308-4243

ISBN: 978-1-61208-771-9

Location: Lisbon, Portugal

Dates: from February 23, 2020 to February 27, 2020