AUTOMATED (SEMANTICS DRIVEN) DATA RETRIEVAL FROM FISCAL DOCUMENTS: A COMPREHENSIVE APPROACH

Authors

  • Vasile MINEA Senior Software Agency SRL, Tudor Vladimirescu Ave, No. 45, Floor 1-2, District 5, Bucharest Municipality, Romania, Phone 004021 310 7481
  • Cornel STAN Senior Software Agency SRL, Tudor Vladimirescu Ave, No. 45, Floor 1-2, District 5, Bucharest Municipality, Romania, Phone 004021 310 7481
  • Gheorghe – Dragoș FLORESCU Senior Software Agency SRL, Tudor Vladimirescu Ave, No. 45, Floor 1-2, District 5, Bucharest Municipality, Romania, Phone 004021 310 7481;
  • Costin LIANU Spiru Haret Univeristy
  • Cosmin LIANU Bucharest Academy of Economic Studies, PhD student, Roman Square no. 6, sector 1, Bucharest, code 010374, Romania, Phones: +40 21.319.19.00, +40 21.319.19.01

DOI:

https://doi.org/10.26458/23416

Abstract

The importance of paper documents in regular business flow cannot be underestimated. They are an important part of the business domain increasingly digital landscape, complementing digital solutions by providing a plus of transparency, reliability and security. Making prompt decisions in the business world requires fast access to relevant and up-to-date data, and working with paper-based documents is very inefficient. Digitization of documents is ubiquitous, and digital document management systems (DMS) play an important role in fields like science, business or health. In the business domain, Enterprise Resource Planning (ERP) systems represent an entire ecosystem of solutions, meant to address every aspect of the business process, in a unified approach. An important aspect of successful ERP implementations is related to the integration of DMS into the ERP. Enabling automated retrieval of data from all kinds of fiscal paper documents into the ERP is the next logical step. In this paper, we provide a hands-on approach for the task of automated text retrieval from fiscal documents. The novelty of our work resides in the manner in which we addressed the semantics of the retrieved data, such that the system associates meaning to the retrieved text elements, at the same time easing the processing of future documents. The solution is presented in a generic form, with a thorough discussion of the technological aspects. It is further implemented in the ERP system. We present and discuss experimental results, finally drawing conclusions and providing several ideas to further develop our work.

Author Biographies

Costin LIANU, Spiru Haret Univeristy

ASSOCIATE PROFESSOR PHD

Cosmin LIANU, Bucharest Academy of Economic Studies, PhD student, Roman Square no. 6, sector 1, Bucharest, code 010374, Romania, Phones: +40 21.319.19.00, +40 21.319.19.01

PHD

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Published

2024-02-27

How to Cite

MINEA, V., STAN , C., FLORESCU, G. – D., LIANU, C., & LIANU, C. (2024). AUTOMATED (SEMANTICS DRIVEN) DATA RETRIEVAL FROM FISCAL DOCUMENTS: A COMPREHENSIVE APPROACH. Annals of Spiru Haret University. Economic Series, 23(4). https://doi.org/10.26458/23416

Issue

Vol. 23 No. 4 (2023)

Section

ACADEMIA PAPERS

License

Copyright (c) 2024 Vasile MINEA, Cornel STAN , Gheorghe – Dragoș FLORESCU, Costin LIANU, Cosmin LIANU

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