TY - GEN
T1 - Identification and Visualization of Legal Definitions and Legal Term Relations
AU - Sai, Catherine
AU - Damaratskaya, Anastasiya
AU - Winter, Karolin
AU - Rinderle-Ma, Stefanie
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Legal Definitions
KW - Legal Knowledge Extraction
KW - Legal Relations Graph
KW - Natural Language Processing
KW - Regulatory Documents
UR - http://www.scopus.com/inward/record.url?scp=85177162303&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-47112-4_14
DO - 10.1007/978-3-031-47112-4_14
M3 - Conference contribution
AN - SCOPUS:85177162303
SN - 9783031471117
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 151
EP - 161
BT - Advances in Conceptual Modeling - ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Proceedings
A2 - Sales, Tiago Prince
A2 - Guizzardi, Giancarlo
A2 - Araújo, João
A2 - Borbinha, José
PB - Springer Science and Business Media Deutschland GmbH
T2 - 42nd International Conference on Conceptual Modeling, ER 2023
Y2 - 6 November 2023 through 9 November 2023
ER -