FORSETI: A Provenance-aware Visual Analysis Environment for the Lifecycle Management of E-autopsy Reports

Baoqing Wang, Noboru Adachi, Issei Fujishiro

Research output: Contribution to journalConference articlepeer-review

Abstract

Autopsy reports are imperative for both medical and legal science. Medical examiners (MEs) and diagnostic radiologists (DRs) cross-reference autopsy findings, while judicial personnel derive legal documents. In a prior study, we proposed a visual analysis system named FORSETI (forensic autopsy system for e-court instruments) with x-LMML (extended legal medicine markup language) for MEs and DRs to author and review e-autopsy reports. In this paper, we outline our extended work in progress to introduce a provenance infrastructure for forensic data accountability to FORSETI, which can be characterized by two technical essences. The first is a provenance management mechanism that combines the forensic autopsy workflow management system (FAWfMS) and lmmlgit (a version control system for x-LMML files), allowing a large amount of provenance information about e-autopsy reports and their documented autopsy processes to be individually parsed. The second is authority management, which ensures the confidentiality of e-autopsy reports by deploying strict syntax-guided workflow controls and a custom-tailored tool.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume3135
Publication statusPublished - 2022
Event2022 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2022 - Edinburgh, United Kingdom
Duration: 2022 Mar 29 → …

Keywords

  • Accountability
  • Authority
  • Computational forensics
  • Legal medicine
  • Provenance

ASJC Scopus subject areas

  • General Computer Science

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