Autopsy ontology: Supporting semantics-based automated knowledge discovery for digital forensic artifacts

Author Identifier (ORCID)

Leslie F. Sikos: https://orcid.org/0000-0003-3368-2215

Allan Korol: https://orcid.org/0000-0002-5096-222X

Abstract

Recognizing a lack of formal knowledge organization systems for digital forensic artifacts, this paper proposes the Autopsy Ontology, which, for the first time, defines the de facto standard Autopsy tool’s terminology in OWL. This ontology was designed to be used for automated reasoning over, and advanced querying of, digital forensic artifacts analyzed in Autopsy, and generating semantic knowledge graphs of digital forensic datasets in resource description framework.

Keywords

Autopsy investigation, digital forensic artifact, OWL ontology, semantic knowledge graph

Document Type

Journal Article

Date of Publication

1-1-2026

Publication Title

Applied Ontology

Publisher

Sage

School

School of Science

RAS ID

91664

Comments

Sikos, L. F., & Korol, A. (2026). Autopsy ontology: Supporting semantics-based automated knowledge discovery for digital forensic artifacts. Applied Ontology. Advance online publication. https://doi.org/10.1177/15705838261422974

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Link to publisher version (DOI)

10.1177/15705838261422974