Towards the Design of Digital Twins for Tax Law: Using Smart Contracts and Legal Ontologies for Automated Decision-Making

  • Florian Schnitzhofer (Speaker)

Activity: Talk or presentationContributed talkscience-to-science

Description

This paper presents proposed research on the design of a framework for automating decision-making in tax software systems through the development of digital twins of tax laws, using the Austrian Income Tax Act as an example. These digital counterparts of the legal texts formulated in natural language are structured into four layers, inspired by the structured approach of smart contracts used in automated legal contract systems: (1) the legal text, (2) a domain-specific tax ontology, (3) a model layer for data configurations, and (4) a logic layer where the tax law logic is implemented in a formal language. By formalizing these layers, we in-tend to create a comprehensive, machine-interpretable representation of (parts of) existing tax laws. Such a framework could address inefficiencies in traditional legal processes by enabling consistent and transparent automated interpretation, calculation, and execution of tax laws. Future work will further investigate which parts of law texts can be formalized in digital twins, which decisions can be automated, and where human inputs will continue to be required.
Period21 Feb 2025
Event titleInternationale Rechtsinformatik Symposion IRIS 2025
Event typeConference
LocationWien, AustriaShow on map
Degree of RecognitionInternational

Fields of science

  • 102030 Semantic technologies
  • 502050 Business informatics
  • 102010 Database systems
  • 102035 Data science
  • 503008 E-learning
  • 502058 Digital transformation
  • 509026 Digitalisation research
  • 102033 Data mining
  • 102 Computer Sciences
  • 102027 Web engineering
  • 102028 Knowledge engineering
  • 102016 IT security
  • 102015 Information systems
  • 102025 Distributed systems

JKU Focus areas

  • Digital Transformation