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

Baoqing Wang, Noboru Adachi, Issei Fujishiro

研究成果: Conference article査読

抄録

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.

本文言語English
ジャーナルCEUR Workshop Proceedings
3135
出版ステータスPublished - 2022
イベント2022 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2022 - Edinburgh, United Kingdom
継続期間: 2022 3月 29 → …

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)

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