FORSETI:一个可视化的分析环境,为电子尸检报告的责任性提供了来源意识

IF 3.8 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Visual Informatics Pub Date : 2022-09-01 DOI:10.1016/j.visinf.2022.05.005
Baoqing Wang , Noboru Adachi , Issei Fujishiro
{"title":"FORSETI:一个可视化的分析环境,为电子尸检报告的责任性提供了来源意识","authors":"Baoqing Wang ,&nbsp;Noboru Adachi ,&nbsp;Issei Fujishiro","doi":"10.1016/j.visinf.2022.05.005","DOIUrl":null,"url":null,"abstract":"<div><p>Autopsy reports play a pivotal role in forensic science. Medical examiners (MEs) and diagnostic radiologists (DRs) cross-reference autopsy results in the form of autopsy reports, while judicial personnel derive legal documents from final autopsy reports. In our prior study, we presented a visual analysis system called the forensic autopsy system for e-court instruments (FORSETI) with an extended legal medicine markup language (x-LMML) that enables MEs and DRs to author and review e-autopsy reports. In this paper, we present our extended work to incorporate provenance infrastructure with authority management into FORSETI for forensic data accountability, which contains two features. The first is a novel provenance management mechanism that combines the forensic autopsy workflow management system (FAWfMS) and a version control system called <span>lmmlgit</span> for x-LMML files. This management mechanism allows much provenance data on e-autopsy reports and their documented autopsy processes to be individually parsed. The second is provenance-supported immersive analytics, which is intended to ensure that the DRs’ and MEs’ autopsy provenances can be viewed, listed, and analyzed so that a principal ME can author their own report through accountable autopsy referencing in an augmented reality setting. A fictitious case with a synthetic wounded body is used to demonstrate the effectiveness of the provenance-aware FORSETI system in terms of data accountability through the experience of experts in legal medicine.</p></div>","PeriodicalId":36903,"journal":{"name":"Visual Informatics","volume":"6 3","pages":"Pages 69-80"},"PeriodicalIF":3.8000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2468502X22000407/pdfft?md5=26d0d079fbe11ae06f644d2b72b8895e&pid=1-s2.0-S2468502X22000407-main.pdf","citationCount":"0","resultStr":"{\"title\":\"FORSETI: A visual analysis environment enabling provenance awareness for the accountability of e-autopsy reports\",\"authors\":\"Baoqing Wang ,&nbsp;Noboru Adachi ,&nbsp;Issei Fujishiro\",\"doi\":\"10.1016/j.visinf.2022.05.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Autopsy reports play a pivotal role in forensic science. Medical examiners (MEs) and diagnostic radiologists (DRs) cross-reference autopsy results in the form of autopsy reports, while judicial personnel derive legal documents from final autopsy reports. In our prior study, we presented a visual analysis system called the forensic autopsy system for e-court instruments (FORSETI) with an extended legal medicine markup language (x-LMML) that enables MEs and DRs to author and review e-autopsy reports. In this paper, we present our extended work to incorporate provenance infrastructure with authority management into FORSETI for forensic data accountability, which contains two features. The first is a novel provenance management mechanism that combines the forensic autopsy workflow management system (FAWfMS) and a version control system called <span>lmmlgit</span> for x-LMML files. This management mechanism allows much provenance data on e-autopsy reports and their documented autopsy processes to be individually parsed. The second is provenance-supported immersive analytics, which is intended to ensure that the DRs’ and MEs’ autopsy provenances can be viewed, listed, and analyzed so that a principal ME can author their own report through accountable autopsy referencing in an augmented reality setting. A fictitious case with a synthetic wounded body is used to demonstrate the effectiveness of the provenance-aware FORSETI system in terms of data accountability through the experience of experts in legal medicine.</p></div>\",\"PeriodicalId\":36903,\"journal\":{\"name\":\"Visual Informatics\",\"volume\":\"6 3\",\"pages\":\"Pages 69-80\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2468502X22000407/pdfft?md5=26d0d079fbe11ae06f644d2b72b8895e&pid=1-s2.0-S2468502X22000407-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Visual Informatics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468502X22000407\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Visual Informatics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468502X22000407","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

尸检报告在法医科学中起着关键作用。法医和诊断放射科医生以尸检报告的形式相互参照尸检结果,而司法人员则从最终尸检报告中获得法律文件。在我们之前的研究中,我们提出了一个可视化分析系统,称为电子法庭文书法医尸检系统(FORSETI),该系统具有扩展的法律医学标记语言(x- lml),使法医和医生能够编写和审查电子尸检报告。在本文中,我们介绍了我们的扩展工作,将来源基础设施与权限管理结合到FORSETI中,用于法医数据问责制,它包含两个特征。第一个是一种新的来源管理机制,它结合了法医尸检工作流管理系统(fafms)和用于x- lml文件的名为lmmlgit的版本控制系统。这种管理机制允许对电子尸检报告中的许多来源数据及其记录的尸检过程进行单独解析。第二个是来源支持的沉浸式分析,其目的是确保博士和医学博士的尸检来源可以被查看、列出和分析,以便主要医学博士可以通过在增强现实环境中引用可靠的尸检来撰写自己的报告。一个虚构的案件,一个合成的受伤的身体,通过法律医学专家的经验,证明在数据问责方面,具有来源意识的FORSETI系统的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
FORSETI: A visual analysis environment enabling provenance awareness for the accountability of e-autopsy reports

Autopsy reports play a pivotal role in forensic science. Medical examiners (MEs) and diagnostic radiologists (DRs) cross-reference autopsy results in the form of autopsy reports, while judicial personnel derive legal documents from final autopsy reports. In our prior study, we presented a visual analysis system called the forensic autopsy system for e-court instruments (FORSETI) with an extended legal medicine markup language (x-LMML) that enables MEs and DRs to author and review e-autopsy reports. In this paper, we present our extended work to incorporate provenance infrastructure with authority management into FORSETI for forensic data accountability, which contains two features. The first is a novel provenance management mechanism that combines the forensic autopsy workflow management system (FAWfMS) and a version control system called lmmlgit for x-LMML files. This management mechanism allows much provenance data on e-autopsy reports and their documented autopsy processes to be individually parsed. The second is provenance-supported immersive analytics, which is intended to ensure that the DRs’ and MEs’ autopsy provenances can be viewed, listed, and analyzed so that a principal ME can author their own report through accountable autopsy referencing in an augmented reality setting. A fictitious case with a synthetic wounded body is used to demonstrate the effectiveness of the provenance-aware FORSETI system in terms of data accountability through the experience of experts in legal medicine.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Visual Informatics
Visual Informatics Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.70
自引率
3.30%
发文量
33
审稿时长
79 days
期刊最新文献
Intelligent CAD 2.0 Editorial Board RelicCARD: Enhancing cultural relics exploration through semantics-based augmented reality tangible interaction design JobViz: Skill-driven visual exploration of job advertisements Visual evaluation of graph representation learning based on the presentation of community structures
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1