Scientific article
OA Policy
English

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

Published inInformation, vol. 15, no. 8, no. Artificial Intelligence (AI) for Economics and Business Management), 461
Publication date2024-08-02
First online date2024-08-02
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.

Keywords
  • AI
  • Administrative documents
  • Data mapping to RDF
  • Document classification
  • Document management system
  • Information extraction
  • Knowledge engineering
  • Machine learning approach
  • Reasoning engine
  • Tax documents
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Additional URL for this publicationhttps://www.mdpi.com/2078-2489/15/8/461
Journal ISSN2078-2489
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Creation05/08/2024 07:17:44
First validation06/08/2024 06:09:11
Update time13/10/2025 13:30:21
Status update06/08/2024 06:09:11
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