TaxGraph - A knowledge graph of multi-national companies and their relationships
| Item Type: | Dataset |
|---|---|
| Title: | TaxGraph - A knowledge graph of multi-national companies and their relationships |
| Date: | 2020 |
| Creator: |
Lüdemann, Niklas ; Shiba, Ageda ; Thymianis, Nikolaos ; Heist, Nicolas  ORCID: 0000-0002-4354-9138 ; Christopher, Ludwig ; Paulheim, Heiko ORCID: 0000-0003-4386-8195
|
| Divisions: | School of Business Informatics and Mathematics > Data Science (Paulheim 2018-) |
| DDC Classification: |
004 Computer science, internet 330 Economics |
|---|---|
| Abstract: | The taxation of multi-national companies is a complex field, since it is influenced by the legislation of several states. Laws in different states may have unforeseen interaction effects, which can be exploited by allowing multi-national companies to minimize and avoid taxes. Thus, we created a knowledge graph of multi-national companies and their relationships. Many commonly known tax avoidance strategies can be formulated as subgraph queries to this graph, which allows for identifying companies using certain strategies. Moreover, we can identify anomalies in the graph which hint at potential tax avoidance strategies. |
| External Identifier for Data: | https://doi.org/10.5281/zenodo.3946462 |
| URL: | https://madata.bib.uni-mannheim.de/525/ |
|---|---|
| Access (Controlled): | Only Metadata |
| License (Controlled): | Creative Commons: CC-BY | Attribution 4.0 (recommended) |
Full text not available from this repository.
| Date Deposited: | 12 Mar 2026 16:23 |
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| Last Modified: | 12 Mar 2026 16:23 |
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