An Architecture for Extracting Key Elements from Legal Permits

  • Anna Breit (Contributor)
  • Laura Waltersdorfer (Contributor)
  • Fajar J. Ekaputra (Contributor)
  • Sabou, R. M. (Contributor)

Activity: Talk or presentationScience to science


In many countries worldwide, including Austria, the environmental impact of production facilities is strongly regulated leading to authorities issuing a large number of legal permits on this topic. The access of interested parties to these permits is typically supported by search systems that present a structured view of the permits along their key elements, such as issuing authority or their legal basis. In this paper, we present a real-life use case from Austria's Environment Agency, where the extraction of such key elements represents a non-trivial task for laypersons with limited legal knowledge: the heterogeneity of data, complex language, and implicit information hinder the manual data extraction process and can lead to poor quality in data management. Based on an analysis of the use case's main requirements, we propose an architecture for a system to support the extraction of key elements from legal permits by laypersons. The system combines methods and techniques based on Knowledge Graphs / Semantic Web and Machine Learning technologies and aims to be auditable in terms of its operation.
Period10 Dec 202013 Dec 2020
Event title2020 IEEE International Conference on Big Data (Big Data)
Event typeUnkonwn
Degree of RecognitionInternational

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102015 Information systems
  • 102
  • 102022 Software development
  • 102001 Artificial intelligence