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International Institute of
Informatics and Systemics
2022 Summer Conferences Proceedings




Knowledge Engineering for Crime Investigation
Wilmuth Müller, Dirk Mühlenberg, Dirk Pallmer, Uwe Zeltmann, Christian Ellmauer, Francisco José Pérez Carrasco, Alberto Garcia Garcia, Konstantinos Demestichas, Nikolaos Peppes, Despoina Touska, Konstantinos Gkountakos, Eva Muñoz Navarro, Santiago Martinez
Proceedings of the 26th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2022, Vol. III, pp. 64-69 (2022); https://doi.org/10.54808/WMSCI2022.03.64
The 26th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2022
Virtual Conference
July 12 - 15, 2022


Proceedings of WMSCI 2022
ISSN: 2771-0947 (Print)
ISBN (Volume III): 978-1-950492-66-4 (Print)

Authors Information | Citation | Full Text |

Wilmuth Müller
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany

Dirk Mühlenberg
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany

Dirk Pallmer
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany

Uwe Zeltmann
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany

Christian Ellmauer
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany

Francisco José Pérez Carrasco
Communications Department, Universitad Politecnica de Valencia, Valencia, Spain

Alberto Garcia Garcia
Communications Department, Universitad Politecnica de Valencia, Valencia, Spain

Konstantinos Demestichas
Institute of Communication and Computer Systems, Athens, Greece

Nikolaos Peppes
Institute of Communication and Computer Systems, Athens, Greece

Despoina Touska
Information Technologies Institute, Centre for Research and Technology Hellas, Thermi, Thessaloniki, Greece

Konstantinos Gkountakos
Information Technologies Institute, Centre for Research and Technology Hellas, Thermi, Thessaloniki, Greece

Eva Muñoz Navarro
ETRA, Valencia, Spain

Santiago Martinez
ETRA, Valencia, Spain


Cite this paper as:
Müller, W., Mühlenberg, D., Pallmer, D., Zeltmann, U., Ellmauer, C., Carrasco, F. J. P., Garcia, A. G., Demestichas, K., Peppes, N., Touska, D., Gkountakos, K., Muñoz Navarro, E., Martinez, S. (2022). Knowledge Engineering for Crime Investigation. In N. Callaos, J. Horne, B. Sánchez, M. Savoie (Eds.), Proceedings of the 26th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2022, Vol. III, pp. 64-69. International Institute of Informatics and Cybernetics. https://doi.org/10.54808/WMSCI2022.03.64
DOI: 10.54808/WMSCI2022.03.64
ISBN - Volume III: 978-1-950492-66-4 (Print)
ISSN: 2771-0947 (Print)
Copyright: © International Institute of Informatics and Systemics 2022
Publisher: International Institute of Informatics and Cybernetics

Abstract
Building upon the possibilities of technologies like ontology engineering, knowledge representational models, text mining, and semantic reasoning, our work presented in this paper, which has been performed within the collaborative research project PREVISION (Prediction and Visual Intelligence for Security Information), co-funded by the European Commission within Horizon 2020 programme, is going to support Law Enforcement Agencies (LEAs) in their critical need to exploit all available resources, and handling the large amount of diversified media modalities to effectively carry out criminal investigation.
A series of tools have been developed within PREVISION which provide LEAS with the capabilities of analyzing and exploiting multiple massive data streams coming from social networks, the open web, the Darknet, traffic and financial data sources, etc. and to semantically integrate these into dynamic knowledge graphs that capture the structure, interrelations and trends of terrorist groups and individuals and OGCs.
The paper at hand focuses on the developed ontology and the tools for text mining, Extract Transform Load, Semantic Reasoning and the knowledge base and knowledge visualization.
Full Text



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