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Towards Knowledge Graph Based Services in Accounting Use Cases

To assist knowledge work in accounting use cases such as bookkeeping, this paper presents a pipeline for constructing and enriching 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 data.