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

Author:

Di Marzo Serugendo Giovanna1ORCID,Cappelli Maria Assunta1ORCID,Falquet Gilles1ORCID,Métral Claudine1,Wade Assane1,Ghadfi Sami1,Cutting-Decelle Anne-Françoise1ORCID,Caselli Ashley1ORCID,Cutting Graham1

Affiliation:

1. Centre Universitaire d’Informatique (CUI), Université de Genève, 1205 Geneva, Switzerland

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.

Publisher

MDPI AG

Reference24 articles.

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