LMML: Describing injuries for forensic data visualization

Malik Olivier Boussejra; Noboru Adachi; Hideki Shojo; Ryohei Takahashi; Issei Fujishiro

doi:10.1109/NicoInt.2016.45

LMML: Describing injuries for forensic data visualization

Malik Olivier Boussejra, Noboru Adachi, Hideki Shojo, Ryohei Takahashi, Issei Fujishiro

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Justice needs efficient tools to exact an accurate and fair judgment. Our research aims at developing a subset of those tools for storage and utilization of autopsy data (autopsy being the medical examination to identify the cause of death, through LMML, the Legal Medicine Mark-up Language, a mark-up language whose syntax and semantics are designed according to the operative procedure certified by the Japanese Society of Legal Medicine. Using an interface we developed, the user (i.e. a medical examiner, a prosecutor or a lawyer) can manage, create, edit LMML files and output autopsy visualizations. The scope of this poster will be focused on how injuries are described within the framework.

Original language	English
Title of host publication	Proceedings - NICOGRAPH International 2016, NicoInt 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	153
Number of pages	1
ISBN (Electronic)	9781509023059
DOIs	https://doi.org/10.1109/NicoInt.2016.45
Publication status	Published - 2016 Sep 9
Event	15th NICOGRAPH International, NicoInt 2016 - Hangzhou, Zhejiang, China Duration: 2016 Jul 6 → 2016 Jul 8

Other

Other	15th NICOGRAPH International, NicoInt 2016
Country/Territory	China
City	Hangzhou, Zhejiang
Period	16/7/6 → 16/7/8

Keywords

Computational Forensics
Mark-up Language
Visualization

ASJC Scopus subject areas

Signal Processing
Media Technology
Computer Graphics and Computer-Aided Design

Access to Document

10.1109/NicoInt.2016.45

Cite this

LMML : Describing injuries for forensic data visualization. / Boussejra, Malik Olivier; Adachi, Noboru; Shojo, Hideki; Takahashi, Ryohei; Fujishiro, Issei.

Proceedings - NICOGRAPH International 2016, NicoInt 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 153 7564081.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Boussejra, MO, Adachi, N, Shojo, H, Takahashi, R & Fujishiro, I 2016, LMML: Describing injuries for forensic data visualization. in Proceedings - NICOGRAPH International 2016, NicoInt 2016., 7564081, Institute of Electrical and Electronics Engineers Inc., pp. 153, 15th NICOGRAPH International, NicoInt 2016, Hangzhou, Zhejiang, China, 16/7/6. https://doi.org/10.1109/NicoInt.2016.45

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abstract = "Justice needs efficient tools to exact an accurate and fair judgment. Our research aims at developing a subset of those tools for storage and utilization of autopsy data (autopsy being the medical examination to identify the cause of death, through LMML, the Legal Medicine Mark-up Language, a mark-up language whose syntax and semantics are designed according to the operative procedure certified by the Japanese Society of Legal Medicine. Using an interface we developed, the user (i.e. a medical examiner, a prosecutor or a lawyer) can manage, create, edit LMML files and output autopsy visualizations. The scope of this poster will be focused on how injuries are described within the framework.",

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AB - Justice needs efficient tools to exact an accurate and fair judgment. Our research aims at developing a subset of those tools for storage and utilization of autopsy data (autopsy being the medical examination to identify the cause of death, through LMML, the Legal Medicine Mark-up Language, a mark-up language whose syntax and semantics are designed according to the operative procedure certified by the Japanese Society of Legal Medicine. Using an interface we developed, the user (i.e. a medical examiner, a prosecutor or a lawyer) can manage, create, edit LMML files and output autopsy visualizations. The scope of this poster will be focused on how injuries are described within the framework.

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LMML: Describing injuries for forensic data visualization

Abstract

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Keywords

ASJC Scopus subject areas

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