TY - GEN
T1 - Automation of Electronic Invoice Validation Using Knowledge Graph Technologies
AU - Mäkelburg, Johannes
AU - John, Christian
AU - Acosta, Maribel
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Invoicing is a crucial part of any business’s financial and administrative activities. Nowadays, invoicing is handled in the form of Electronic Data Interchange (EDI), where invoices are managed in a standardized electronic or digital format rather than on paper. In this context, EDI increases the efficiency of creating, distributing, and processing invoices. The most used standard for representing electronic invoices is EDIFACT. Yet, the validation of EDIFACT invoices is not standardized. In this work, we tackle the problem of automatically validating electronic invoices in the EDIFACT format by leveraging KG technologies. The core of our proposed solution consists of representing EDIFACT invoices as RDF knowledge graphs (KGs). We developed an OWL ontology to model EDIFACT terms with semantic descriptions. The invoice KG can be validated using SHACL constraints acquired from domain experts. We evaluated our ontology and invoice validation process. The results show that our proposed solution is complete, correct, and efficient, and significantly undercuts the efforts of current human evaluation.
AB - Invoicing is a crucial part of any business’s financial and administrative activities. Nowadays, invoicing is handled in the form of Electronic Data Interchange (EDI), where invoices are managed in a standardized electronic or digital format rather than on paper. In this context, EDI increases the efficiency of creating, distributing, and processing invoices. The most used standard for representing electronic invoices is EDIFACT. Yet, the validation of EDIFACT invoices is not standardized. In this work, we tackle the problem of automatically validating electronic invoices in the EDIFACT format by leveraging KG technologies. The core of our proposed solution consists of representing EDIFACT invoices as RDF knowledge graphs (KGs). We developed an OWL ontology to model EDIFACT terms with semantic descriptions. The invoice KG can be validated using SHACL constraints acquired from domain experts. We evaluated our ontology and invoice validation process. The results show that our proposed solution is complete, correct, and efficient, and significantly undercuts the efforts of current human evaluation.
KW - EDIFACT
KW - Electronic Invoice
KW - Ontology
KW - RDF
KW - RML
KW - SHACL
UR - http://www.scopus.com/inward/record.url?scp=85194230926&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-60626-7_14
DO - 10.1007/978-3-031-60626-7_14
M3 - Conference contribution
AN - SCOPUS:85194230926
SN - 9783031606250
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 253
EP - 269
BT - The Semantic Web - 21st International Conference, ESWC 2024, Proceedings
A2 - Meroño Peñuela, Albert
A2 - Dimou, Anastasia
A2 - Troncy, Raphaël
A2 - Lisena, Pasquale
A2 - Hartig, Olaf
A2 - Acosta, Maribel
A2 - Alam, Mehwish
A2 - Paulheim, Heiko
PB - Springer Science and Business Media Deutschland GmbH
T2 - 21st European Semantic Web Conference, ESWC 2024
Y2 - 26 May 2024 through 30 May 2024
ER -