Murder, She Modeled: Modeling to Support Crimino-Forensic Processes

van der Linden, Dirk, Dayan, Hava, Zamansky, Anna and Hadar, Irit (2021) Murder, She Modeled: Modeling to Support Crimino-Forensic Processes. In: Enterprise, Business-Process and Information Systems Modeling: 22nd International Conference, BPMDS 2021, 26th International Conference, EMMSAD 2021, Held at CAiSE 2021, Melbourne, Australia, June 28–July 2, 2021, Proceedings. Lecture Notes in Business Information Processing, 421 (421). Springer, Cham, pp. 318-331. ISBN 9783030791858, 9783030791865

[img]
Preview
Text
Murder_She_Modeled.pdf - Accepted Version

Download (1MB) | Preview
Official URL: https://doi.org/ 10.1007/978-3-030-79186-5_21

Abstract

Digital technologies are increasingly used by law enforcement in forensic processes. This opens the door to new opportunities for the use of conceptual modeling techniques to support pro-active collection and modeling of crime scene evidence—especially for the more challenging case of soft evidence. As opposed to digital evidence and other `hard' evidence (such as finger prints and DNA samples), ‘soft’ evidence refers to heterogeneous meta-data on the crime scene (such as modus operandi, victim’s background, etc.), which challenges the automation and support of both collection and modeling processes for such evidence. Using homicide crime scene staging (HCSS) as a case study, we explore the challenges and opportunities that an approach applying conceptual modeling techniques offers to support crimino-forensic processes in the collection and systematic modeling of soft evidence.

Item Type: Book Section
Uncontrolled Keywords: conceptual modeling. user Stories, misuse cases, crime scene staging, homicide.
Subjects: F400 Forensic and Archaeological Science
G400 Computer Science
G900 Others in Mathematical and Computing Sciences
M900 Other in Law
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Related URLs:
Depositing User: John Coen
Date Deposited: 27 Apr 2021 11:37
Last Modified: 31 Jul 2021 10:05
URI: http://nrl.northumbria.ac.uk/id/eprint/46024

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics