Proposal / Submission Type
Peer Reviewed Paper
Location
Richmond, Virginia
Start Date
11-6-2013 11:05 AM
Abstract
Digital forensics (DF) is a growing field that is gaining popularity among many computer professionals, law enforcement agencies and other stakeholders who must always cooperate in this profession. Unfortunately, this has created an environment replete with semantic disparities within the domain that needs to be resolved and/or eliminated. For the purpose of this study, semantic disparity refers to disagreements about the meaning, interpretation, descriptions and the intended use of the same or related data and terminologies. If semantic disparity is not detected and resolved, it may lead to misunderstandings. Even worse, since the people involved may not be from the same neighbourhood, they may not be aware of the existence of the semantic disparities, and probably might not easily realize it. The aim of this paper, therefore, is to discuss semantic disparity in DF and further elaborates on how to manage it. In addition, this paper also presents the significance of semantic reconciliation in DF. Semantic reconciliation refers to reconciling the meaning (including the interpretations and descriptions) of terminologies and data used in digital forensics. Managing semantic disparities and the significance of semantic reconciliation in digital forensics constitutes the main contributions of this paper.
Keywords: Digital forensics, semantic disparity, managing semantic disparity, semantic reconciliation, significance of semantic reconciliation
Scholarly Commons Citation
Karie, Nickson M. and Venter, H. S., "Significance of Semantic Reconciliation in Digital Forensics" (2013). Annual ADFSL Conference on Digital Forensics, Security and Law. 8.
https://commons.erau.edu/adfsl/2013/tuesday/8
Included in
Computer Engineering Commons, Computer Law Commons, Electrical and Computer Engineering Commons, Forensic Science and Technology Commons, Information Security Commons
Significance of Semantic Reconciliation in Digital Forensics
Richmond, Virginia
Digital forensics (DF) is a growing field that is gaining popularity among many computer professionals, law enforcement agencies and other stakeholders who must always cooperate in this profession. Unfortunately, this has created an environment replete with semantic disparities within the domain that needs to be resolved and/or eliminated. For the purpose of this study, semantic disparity refers to disagreements about the meaning, interpretation, descriptions and the intended use of the same or related data and terminologies. If semantic disparity is not detected and resolved, it may lead to misunderstandings. Even worse, since the people involved may not be from the same neighbourhood, they may not be aware of the existence of the semantic disparities, and probably might not easily realize it. The aim of this paper, therefore, is to discuss semantic disparity in DF and further elaborates on how to manage it. In addition, this paper also presents the significance of semantic reconciliation in DF. Semantic reconciliation refers to reconciling the meaning (including the interpretations and descriptions) of terminologies and data used in digital forensics. Managing semantic disparities and the significance of semantic reconciliation in digital forensics constitutes the main contributions of this paper.
Keywords: Digital forensics, semantic disparity, managing semantic disparity, semantic reconciliation, significance of semantic reconciliation
