| Title | A framework for digital forensics analysis based on semantic role labeling |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Barreira, R., Pinheiro, V., Furtado, V. |
| Conference Name | 2017 IEEE International Conference on Intelligence and Security Informatics (ISI) |
| Date Published | jul |
| Keywords | Crime Analysis, digital forensic analysis, digital forensics, forensic analysis, forensic experts, forensic frames, frame semantics, FrameFOR, Human Behavior, knowledge base, knowledge based systems, Labeling, Mobile handsets, natural language processing, Object recognition, pubcrawl, Resiliency, Scalability, semantic annotation, semantic role labeling, semantic texts annotation, Semantics, text analysis |
| Abstract | This article describes a framework for semantic annotation of texts that are submitted for forensic analysis, based on Frame Semantics, and a knowledge base of Forensic Frames - FrameFOR. We demonstrate through experimental evaluations that the application of the Semantic Role Labeling (SRL) techniques and Natural Language Processing (NLP) in digital forensic increases the performance of the forensic experts in terms of agility, precision and recall. |
| DOI | 10.1109/ISI.2017.8004876 |
| Citation Key | barreira_framework_2017 |
A framework for digital forensics analysis based on semantic role labeling