Identification and Visualization of Legal Definitions and Legal Term Relations

Catherine Sai, Anastasiya Damaratskaya, Karolin Winter, Stefanie Rinderle-Ma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Reading, analyzing, and implementing regulatory documents are cumbersome and still mostly manual tasks. The constantly increasing amount of regulatory documents causes an equally increasing need for supporting those tasks through information systems. One key aspect for accomplishing those tasks is to acquire knowledge of the different legal definitions, i.e., legal terms accompanied by their explanations, in order to build a legal vocabulary or an ontology. This paper proposes an approach taking European regulations as input and i) automatically extracting legal definitions, ii) determining semantic relations such as hyponyms, meronyms, and synonyms between legal terms, and iii) visualizing the results in form of a knowledge graph and statistics. The approach is evaluated on European regulations and made accessible particularly for non-technical users through an easy-to-use web service.

Original languageEnglish
Title of host publicationAdvances in Conceptual Modeling - ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Proceedings
EditorsTiago Prince Sales, Giancarlo Guizzardi, João Araújo, José Borbinha
PublisherSpringer Science and Business Media Deutschland GmbH
Pages151-161
Number of pages11
ISBN (Print)9783031471117
DOIs
StatePublished - 2023
Event42nd International Conference on Conceptual Modeling, ER 2023 - Lisbon, Portugal
Duration: 6 Nov 20239 Nov 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14319 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference42nd International Conference on Conceptual Modeling, ER 2023
Country/TerritoryPortugal
CityLisbon
Period6/11/239/11/23

Keywords

  • Legal Definitions
  • Legal Knowledge Extraction
  • Legal Relations Graph
  • Natural Language Processing
  • Regulatory Documents

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