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  4. Ontology Population Framework of MAGNETO for Instantiating Heterogeneous Forensic Data Modalities
 
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2019
Conference Paper
Title

Ontology Population Framework of MAGNETO for Instantiating Heterogeneous Forensic Data Modalities

Abstract
The growth in digital technologies has influenced three characteristics of information namely the volume, the modality and the frequency. As the amount of information generated by individuals increases, there is a critical need for the Law Enforcement Agencies to exploit all available resources to effectively carry out criminal investigation. Addressing the increasing challenges in handling the large amount of diversified media modalities generated at high-frequency, the paper outlines a systematic approach adopted for the processing and extraction of semantic concepts formalized to assist criminal investigations. The novelty of the proposed framework relies on the semantic processing of heterogeneous data sources including audio-visual footage, speech-to-text, text mining, suspect tracking and identification using distinctive region or pattern. Information extraction from textual data, machine-translated into English from various European languages, uses semantic role labeling. All extracted information is stored in one unifying system based on an ontology developed specifically for this task. The described technologies will be implemented in the Multimedia Analysis and correlation enGine for orgaNised crime prEvention and invesTigatiOn (MAGNETO).
Author(s)
Behmer, Ernst-Josef
Chandramouli, K.
Garrido, V.
Mühlenberg, Dirk  
Müller, Dennis
Müller, Wilmuth  
Pallmer, Dirk  
Perez, F.
Piatrik, T.
Vargas, C.
Mainwork
Artificial Intelligence Applications and Innovations  
Project(s)
MAGNETO  
Funder
European Commission EC  
Conference
International Conference on Artificial Intelligence Applications and Innovations (AIAI) 2019  
File(s)
Download (681.59 KB)
DOI
10.24406/publica-r-404754
10.1007/978-3-030-19823-7_44
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • information extraction

  • ontology population

  • law enforcement

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