Legal Information Retrieval System with Entity-Based Query Expansion: Case study in Traffic Accident Litigation

• Published in: Journal of computer science and technology (La Plata) Vol. 22; no. 2; p. e12
• Main Authors: Gimenez Catacora, Joel Arnaldo, Casali, Ana, Deco, Claudia
• Format: Journal Article
• Language: English
• Published: La Plata Universidad Nacional de la Plata, Journal of Computer Science and Technology 01.10.2022; Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
• Subjects: Experimentation; Information retrieval; Knowledge bases (artificial intelligence); Legal information; legal knowledge base; Litigation; Ontology; Queries; Query expansion; Relevance feedback; Traffic accidents
• ISSN: 1666-6046; 1666-6038
• DOI: 10.24215/16666038.22.e12

This article describes an information retrieval system with entity query expansion by relevance feedback.The performance of the system is tested assuming its usage as a support tool for lawyers constructing a legalframework for a case. The objective is to improve the precision of results when searching for relevantjurisprudence. For this, the entities belonging to a knowledge base are used as a means to expand thequery. The expansion can be done using either an automatic or an interactive mechanism. This secondapproach suggests to the user concepts related to the query, which might improve the search experience. Anontology and a knowledge base, called LegalOnto and LegalBase, respectively, were developed. The ontology includes concepts not addressed by existing legal ontologies, and the knowledge base integrates LegalOnto with the thesaurus of the Argentine System of Legal Information (Sistema Argentino de Informacion ´Jur´ıdica: SAIJ), enriched in the subject of traffic accidents. Quantitative experimentation is carried out upon aset of court documents that are used to populate the knowledge base. Preliminary results are encouraging.