TY - GEN
T1 - Lex2KG
T2 - 13th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021
AU - Abdurahman, Muhamad
AU - Darari, Fariz
AU - Lesmana, Hans
AU - Hartopo, Muhtar
AU - Rhesa, Immanuel
AU - Lumban Tobing, Berty Chrismartin
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Legal documents are generally available in the form of PDF which is not machine-readable. A knowledge graph (KG) is a graph describing real-world entities and their relationships, providing structured, machine-readable information. In this paper, we present Lex2KG, a framework for converting legal (PDF) documents into a KG. The legal KG contains various kinds of structured data, such as metadata, document structures, textual content, and relations between legal resources (e.g., amendments and citations). Through Lex2KG, we have successfully converted 784 Indonesian laws into a KG with a total size of over 1.1 million triples. We also present use cases of the legal KG for SPARQL querying, simple chatbots, and legal visualizations, showing how the legal KG generated can be useful in practice.
AB - Legal documents are generally available in the form of PDF which is not machine-readable. A knowledge graph (KG) is a graph describing real-world entities and their relationships, providing structured, machine-readable information. In this paper, we present Lex2KG, a framework for converting legal (PDF) documents into a KG. The legal KG contains various kinds of structured data, such as metadata, document structures, textual content, and relations between legal resources (e.g., amendments and citations). Through Lex2KG, we have successfully converted 784 Indonesian laws into a KG with a total size of over 1.1 million triples. We also present use cases of the legal KG for SPARQL querying, simple chatbots, and legal visualizations, showing how the legal KG generated can be useful in practice.
KW - Conversion
KW - Knowledge Graph
KW - Law
KW - Legal Documents
KW - PDF
KW - RDF
KW - SPARQL
UR - http://www.scopus.com/inward/record.url?scp=85123858443&partnerID=8YFLogxK
U2 - 10.1109/ICACSIS53237.2021.9631310
DO - 10.1109/ICACSIS53237.2021.9631310
M3 - Conference contribution
AN - SCOPUS:85123858443
T3 - 2021 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021
BT - 2021 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 23 October 2021 through 26 October 2021
ER -