Requirements of legal knowledge management systems to aid normative reasoning in specialist domains

A Antonini, G Boella, J Hulstijn, L Humphreys

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

2 Citations (Scopus)

Abstract

This paper discusses the challenges of legal norms in specialist domains - the interplay between industry/professional standards and legal norms, the information gap between legal and specialist domains and the need for interpretation at all stages of compliance - design, operation and justification. We propose extensions to the Eunomos legal knowledge management tool to help address the information gap, with particular attention to aligning norms with operational procedures, and the use of domain-specific specialist ontologies from multiple domains to help users understand and reason with norms on specialist topics. The paper focuses mainly on medical law and clinical guidelines.
Original languageEnglish
Title of host publicationProceedings of the JSAI International Symposium on Artificial Intelligence (JSAI-isAI 2013)
Subtitle of host publicationNew Frontiers in Artificial Intelligence
EditorsK Satoh, D Bekki, Y Nakano
Place of PublicationKanagawa
PublisherSpringer
Pages167-182
Number of pages16
ISBN (Electronic)9783319100616
ISBN (Print)9783319100609
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventJSAI-iaAI 2013 Workshops, LENLS, JURISIN, MiMI, AAA and DDS - Kanagawa, Japan
Duration: 27 Oct 201328 Oct 2013

Publication series

NameLecture Notes in Computer Science; 2014

Workshop

WorkshopJSAI-iaAI 2013 Workshops, LENLS, JURISIN, MiMI, AAA and DDS
CountryJapan
CityKanagawa
Period27/10/1328/10/13

Keywords

  • legal ontology
  • knowledge representation
  • norm compliance
  • ontology alignment
  • clinical guidelines

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  • Cite this

    Antonini, A., Boella, G., Hulstijn, J., & Humphreys, L. (2014). Requirements of legal knowledge management systems to aid normative reasoning in specialist domains. In K. Satoh, D. Bekki, & Y. Nakano (Eds.), Proceedings of the JSAI International Symposium on Artificial Intelligence (JSAI-isAI 2013): New Frontiers in Artificial Intelligence (pp. 167-182). (Lecture Notes in Computer Science; 2014). Springer. https://doi.org/10.1007/978-3-319-10061-6_12