Quotation Breit, Anna, Waltersdorfer, Laura, Ekaputra, Fajar J., Sabou, Reka Marta. 2020. An Architecture for Extracting Key Elements from Legal Permits. 2020 IEEE International Conference on Big Data (Big Data), online, Vereinigte Staaten/USA, 10.12-13.12.


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Abstract

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.

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Publication's profile

Status of publication Published
Affiliation External
Type of publication Paper presented at an academic conference or symposium
Language English
Title An Architecture for Extracting Key Elements from Legal Permits
Event 2020 IEEE International Conference on Big Data (Big Data)
Year 2020
Date 10.12-13.12
Country United States/USA
Location online

Associations

People
Sabou, Reka Marta (Details)
External
Breit, Anna (Semantic Web Company, Austria)
Ekaputra, Fajar J. (Technical University of Vienna, Austria)
Waltersdorfer, Laura (Technical University of Vienna, Austria)
Organization
Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
1127 Information science (Details)
1138 Information systems (Details)
1140 Software engineering (Details)
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