Reference : A Query System for Extracting Requirements-related Information from Legal Texts
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/39892
A Query System for Extracting Requirements-related Information from Legal Texts
English
Sleimi, Amin mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Ceci, Marcello mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Sannier, Nicolas mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Sabetzadeh, Mehrdad mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Briand, Lionel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Dann, John []
2019
Proceedings of the 27th IEEE International Requirements Engineering Conference (RE'19)
Yes
International
27th IEEE International Requirements Engineering Conference (RE'19)
from 23-09-2019 to 27-09-2019
[en] legal requirements ; legal metadata ; natural language processing ; smart search ; question answering
[en] Searching legal texts for relevant information is a complex and expensive activity. The search solutions offered by present-day legal portals are targeted primarily at legal professionals. These solutions are not adequate for requirements analysts whose objective is to extract domain knowledge including stakeholders, rights and duties, and business processes that are relevant to legal requirements. Semantic Web technologies now enable smart search capabilities and can be exploited to help requirements analysts in elaborating legal requirements.
In our previous work, we developed an automated framework for extracting semantic metadata from legal texts. In this paper, we investigate the use of our metadata extraction framework as an enabler for smart legal search with a focus on requirements engineering activities. We report on our industrial experience helping the Government of Luxembourg provide an advanced search facility over Luxembourg’s Income Tax Law. The experience shows that semantic legal metadata can be successfully exploited for answering requirements engineering-related legal queries. Our results also suggest that our conceptualization of semantic legal metadata can be further improved with new information elements and relations.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Software Verification and Validation Lab (SVV Lab)
Fonds National de la Recherche - FnR
http://hdl.handle.net/10993/39892
FnR ; FNR11554296 > Mehrdad Sabetzadeh > ARMLET > Automated Retrieval of Metadata from Legal Texts > 01/01/2017 > 31/12/2018 > 2017; FNR11801776 > Lionel Briand > SCARLET > Semantic Metadata and Compliance Rule Extraction from Legal Texts > 01/01/2018 > 31/12/2020 > 2017

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