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A Hybrid Virtual Assistant for Legal Domain Based on Information Retrieval and Knowledge Graphs

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 16 No. 2 (2023) · pp. 125–140

DOI
10.21609/jiki.v16i2.1152
ISSN
2502-9274, 2088-7051
Published
2023-07-03
Publisher
Faculty of Computer Science - Universitas Indonesia
Language
eng

Abstract

Virtual assistants have gained popularity across various domains, including the legal field, where they serve to offer guidance and aid in the form of law retrieval. In this research, our aim is to develop a legal virtual assistant that combines knowledge graphs (KGs) and information retrieval (IR) techniques. This hybrid approach allows us to provide accurate answers extracted from structured interconnected data while simultaneously cater to a diverse range of legal inquiries. We categorize these inquiries into a few distinct use cases: definition lookup, law component lookup, sanctions, and domain knowledge. Our system encompasses a chatbot platform, knowledge graph querying, and information retrieval. Specifically, we construct a VA system over a legal knowledge graph pertaining to the Indonesian Act concerning Manpower or Labor (UU Ketenagakerjaan) and the Indonesian Act concerning the Creation of Jobs (UU Cipta Kerja). This marks the creation of the first legal virtual assistant in the Indonesian context that combines KG and IR methodologies. To evaluate the effectiveness of our prototype system, we conduct tests using a variety of labor law-related questions, ranging in difficulty. The integration of knowledge graphs and information retrieval proves to significantly improve the support provided for a wide range of potential applications in the legal field.

Collaboration network of the authors

11 authors · 28 co-authorship links

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  • University of Indonesia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Ruli ManurungAffiliation unknown1
Rahmad MahendraUniversity of Indonesia1
Hadi Syah PutraUniversity of Indonesia1
Fadzil RizkiUniversity of Indonesia1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jiki.cs.ui.ac.id/index.php/jiki/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">A Hybrid Virtual Assistant for Legal Domain Based on Information Retrieval and Knowledge Graphs</dc:title>
	<dc:creator>Faisal, Douglas Raevan</dc:creator>
	<dc:creator>Darari, Fariz</dc:creator>
	<dc:creator>Ghifari, Muhammad Ilham Al</dc:creator>
	<dc:creator>Zamrud, Muhammad Zuhdi</dc:creator>
	<dc:creator>O'Vara, Marcellino Chris</dc:creator>
	<dc:creator>Tobing, Berty Chrismartin Lumban</dc:creator>
	<dc:creator>Lee, On</dc:creator>
	<dc:description xml:lang="en-US">Virtual assistants have gained popularity across various domains, including the legal field, where they serve to offer guidance and aid in the form of law retrieval. In this research, our aim is to develop a legal virtual assistant that combines knowledge graphs (KGs) and information retrieval (IR) techniques. This hybrid approach allows us to provide accurate answers extracted from structured interconnected data while simultaneously cater to a diverse range of legal inquiries. We categorize these inquiries into a few distinct use cases: definition lookup, law component lookup, sanctions, and domain knowledge. Our system encompasses a chatbot platform, knowledge graph querying, and information retrieval. Specifically, we construct a VA system over a legal knowledge graph pertaining to the Indonesian Act concerning Manpower or Labor (UU Ketenagakerjaan) and the Indonesian Act concerning the Creation of Jobs (UU Cipta Kerja). This marks the creation of the first legal virtual assistant in the Indonesian context that combines KG and IR methodologies. To evaluate the effectiveness of our prototype system, we conduct tests using a variety of labor law-related questions, ranging in difficulty. The integration of knowledge graphs and information retrieval proves to significantly improve the support provided for a wide range of potential applications in the legal field.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2023-07-03</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/1152</dc:identifier>
	<dc:identifier>10.21609/jiki.v16i2.1152</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 16 No. 2 (2023): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 125-140</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
	<dc:source>10.21609/jiki.v16i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/1152/494</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Jurnal Ilmu Komputer dan Informasi</dc:rights>
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