Publikation
Towards Knowledge Graph Based Services in Accounting Use Cases
Michael Schulze; Michelle Pelzer; Markus Schröder; Christian Jilek; Heiko Maus; Andreas Dengel
In: SemanticsP&Ds 2022 Semantics Compound Volume 2022: Joint Proceedings of the Semantics co-located events: Poster&Demo track. Joint of the Semantics co-located events: Poster & Demo track (SEMANTiCS P&Ds-2022), September 13-15, Vienna, Austria, CEUR Workshop Proceedings, CEUR-WS, 10/2022.
Zusammenfassung
To assist knowledge work in accounting use cases such as bookkeeping, this poster presents a pipeline
for constructing an accounting knowledge graph from heterogeneous accounting resources. To show the
feasibility of the approach, we applied the pipeline in a multi-group energy provider by employing real
company data. A set of prototypical knowledge services was realized with the accounting knowledge
graph as the basis, for example, the suggestion of similar accounting cases to the accountant. For training
decision trees to predict accounts, our results suggest that using semantically enriched data from the
knowledge graph leads to better results compared to not using semantically enriched dat