SHAMROQ: Towards semantic models of regulations

Patrick D. Cook, Susan A. Mengal, Siva Parameswaran

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

Abstract

Regulatory documents contain a rich set of provisions that requirement engineers must observe in software requirements. If a requirement engineer fails to accurately interpret or include the provisions in the software requirements, then a right, privilege, or obligation could be omitted or incorrectly applied - resulting in a violation. When a violation occurs, complaints are filed, penalties are imposed, and in some instances, the responsible party goes to prison; thus, this paper introduces SHAMROQ, a methodology to systematically acquire software requirements from regulations, and demonstrates the methodology using a section of the Health Insurance Portability and Accountability Act (HIPAA). SHAMROQ is applied to a case study to show that it is possible to use the basic activity pattern with modality, description logic, and Hohfeldian legal concepts to analyze, classify, and model the legal relationships to ascertain meaning, context, and structure.

Original languageEnglish
Title of host publicationSEKE 2020 - Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering
PublisherKnowledge Systems Institute Graduate School
Pages93-100
Number of pages8
ISBN (Electronic)1891706500
DOIs
StatePublished - 2020
Event32nd International Conference on Software Engineering and Knowledge Engineering, SEKE 2020 - Pittsburgh, Virtual, United States
Duration: Jul 9 2020Jul 19 2020

Publication series

NameProceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE
VolumePartF162440
ISSN (Print)2325-9000
ISSN (Electronic)2325-9086

Conference

Conference32nd International Conference on Software Engineering and Knowledge Engineering, SEKE 2020
CountryUnited States
CityPittsburgh, Virtual
Period07/9/2007/19/20

Keywords

  • Knowledge representation
  • OWL
  • Resource Description Framework
  • SHAMROQ
  • Semantic Web

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