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Streamlining Tax and Administrative Document Management with AI-Powered Intelligent Document Management System.

Authors :
Di Marzo Serugendo, Giovanna
Cappelli, Maria Assunta
Falquet, Gilles
Métral, Claudine
Wade, Assane
Ghadfi, Sami
Cutting-Decelle, Anne-Françoise
Caselli, Ashley
Cutting, Graham
Source :
Information (2078-2489). Aug2024, Vol. 15 Issue 8, p461. 33p.
Publication Year :
2024

Abstract

Organisations heavily dependent on paper documents still spend a significant amount of time managing a large volume of documents. An intelligent document management system (DMS) is presented to automate the processing of tax and administrative documents. The proposed system fills a gap in the landscape of practical tools in the field of DMS and advances the state of the art. This system represents a complex process of integrated AI-powered technologies that creates an ontology, extracts information from documents, defines profiles, maps the extracted data in RDF format, and applies inference through a reasoning engine. The DMS was designed to help all those companies that manage their clients' tax and administrative documents daily. Automation speeds up the management process so that companies can focus more on value-added services. The system was tested in a case study that focused on the preparation of tax returns. The results demonstrated the efficacy of the system in providing document management service. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20782489
Volume :
15
Issue :
8
Database :
Academic Search Index
Journal :
Information (2078-2489)
Publication Type :
Academic Journal
Accession number :
179353930
Full Text :
https://doi.org/10.3390/info15080461