Developing a Digital Forensics Terminology Using Natural Language Processing

Maël Le Gall, Christian Cole, David Haynes, Niamh Nic Daéid

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Downloads (Pure)

Abstract

Digital forensics suffers from a communication and knowledge sharing challenge. To address this, stakeholders have created glossaries and ontologies in recent years. However, the existing solutions usually have a narrow scope, are often not publicly available and/or do not allow the reuse of their knowledge by artificial agents. This study aims to identify a relevant Automatic Term Extraction (ATE) method to create a digital forensics terminology which is more representative of the terminological needs in the domain. A corpus has been created to represent the vision of academics and practitioners. It will be used as an input for the ATE method. The project led to a list of 1,000 terms covering and expanding the scope of an existing glossary, the OSAC glossary.

Original languageEnglish
Title of host publicationKnowledge Organization across Disciplines, Domains, Services, and Technologies
Subtitle of host publicationProceedings of the Seventeenth International ISKO Conference 6–8 July 2022 Aalborg, Denmark
EditorsMarianne Lykke, Tanja Svarre, David Haynes, Mette Skov, Martin Thellefsen, Daniel Martinez-Avila
Place of PublicationGermany
PublisherNomos Verlagsgesellschaft mbH und Co KG
Pages173-186
Number of pages13
ISBN (Electronic)9783956509568
ISBN (Print)9783956509551
DOIs
Publication statusPublished - 2022
Event17th International Society for Knowledge Organization, ISKO 2022 - under the theme Knowledge Organization across Disciplines, Domains, Services and Technologies - Aalborg, Denmark
Duration: 6 Jul 20228 Jul 2022

Publication series

NameAdvances in Knowledge Organization
Volume19
ISSN (Print)0938-5495

Conference

Conference17th International Society for Knowledge Organization, ISKO 2022 - under the theme Knowledge Organization across Disciplines, Domains, Services and Technologies
Country/TerritoryDenmark
CityAalborg
Period6/07/228/07/22

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Information Systems and Management

Fingerprint

Dive into the research topics of 'Developing a Digital Forensics Terminology Using Natural Language Processing'. Together they form a unique fingerprint.

Cite this