Knowledge Graphs and their Applications in Civil Security

Simon Ott; Daria Liakhovets; Mina Schütz; Medina Andresel; Mihai Bartha; Sven Schlarb; Alexander Schindler

Knowledge Graphs and their Applications in Civil Security

Simon Ott (Author and Speaker), Daria Liakhovets, Mina Schütz, Medina Andresel, Mihai Bartha, Sven Schlarb, Alexander Schindler

Data Science & Artifical Intelligence

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Abstract

In civil security, knowledge graphs play a crucial role by representing complex relationships among key entities, enhancing operational efficiency and ultimately ensuring the safety and well-being of communities. In this paper we introduce the technical tasks and methodology used for the applications of knowledge graphs in the context of civil security and describe the design of a software system for creating and leveraging knowledge graphs in use-cases such as hybrid threats identification, supply-chain resilience and situational awareness.

Original language	English
Title of host publication	Knowledge Graphs and Neurosymbolic AI (KG-NeSy) in Austrian 2024 Symposium on AI, Robotics and Vision (AIROV24)
Place of Publication	Innsbruck, Austria
Number of pages	7
Edition	1
Publication status	Published - 2024
Event	The First Austrian Symposium on AI, Robotics, and Vision - Universität Innsbruck, Innsbruck, Austria Duration: 25 Mar 2024 → 27 Mar 2024

Conference

Conference	The First Austrian Symposium on AI, Robotics, and Vision
Abbreviated title	AIRoV
Country/Territory	Austria
City	Innsbruck
Period	25/03/24 → 27/03/24

Research Field

Multimodal Analytics

Keywords

nlp
civil security
knowledge graphs

Access to Document

https://semantic-systems.org/sites/KG-NeSy/papers/P64.pdf

Cite this

@inproceedings{f13ffa01b99d4d77ad546e581b251037,

title = "Knowledge Graphs and their Applications in Civil Security",

abstract = "In civil security, knowledge graphs play a crucial role by representing complex relationships among key entities, enhancing operational efficiency and ultimately ensuring the safety and well-being of communities. In this paper we introduce the technical tasks and methodology used for the applications of knowledge graphs in the context of civil security and describe the design of a software system for creating and leveraging knowledge graphs in use-cases such as hybrid threats identification, supply-chain resilience and situational awareness.",

keywords = "nlp, civil security, knowledge graphs",

author = "Simon Ott and Daria Liakhovets and Mina Sch{\"u}tz and Medina Andresel and Mihai Bartha and Sven Schlarb and Alexander Schindler",

year = "2024",

language = "English",

booktitle = "Knowledge Graphs and Neurosymbolic AI (KG-NeSy) in Austrian 2024 Symposium on AI, Robotics and Vision (AIROV24)",

edition = "1",

note = "The First Austrian Symposium on AI, Robotics, and Vision , AIRoV ; Conference date: 25-03-2024 Through 27-03-2024",

}

Ott, S , Liakhovets, D , Schütz, M , Andresel, M , Bartha, M , Schlarb, S & Schindler, A 2024, Knowledge Graphs and their Applications in Civil Security. in Knowledge Graphs and Neurosymbolic AI (KG-NeSy) in Austrian 2024 Symposium on AI, Robotics and Vision (AIROV24). 1 edn, Innsbruck, Austria, The First Austrian Symposium on AI, Robotics, and Vision , Innsbruck, Austria, 25/03/24. <https://semantic-systems.org/sites/KG-NeSy/papers/P64.pdf>

Knowledge Graphs and their Applications in Civil Security. / Ott, Simon (Author and Speaker); Liakhovets, Daria ; Schütz, Mina et al.
Knowledge Graphs and Neurosymbolic AI (KG-NeSy) in Austrian 2024 Symposium on AI, Robotics and Vision (AIROV24). 1. ed. Innsbruck, Austria, 2024.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

TY - GEN

T1 - Knowledge Graphs and their Applications in Civil Security

AU - Liakhovets, Daria

AU - Schütz, Mina

AU - Andresel, Medina

AU - Bartha, Mihai

AU - Schlarb, Sven

AU - Schindler, Alexander

A2 - Ott, Simon

PY - 2024

Y1 - 2024

N2 - In civil security, knowledge graphs play a crucial role by representing complex relationships among key entities, enhancing operational efficiency and ultimately ensuring the safety and well-being of communities. In this paper we introduce the technical tasks and methodology used for the applications of knowledge graphs in the context of civil security and describe the design of a software system for creating and leveraging knowledge graphs in use-cases such as hybrid threats identification, supply-chain resilience and situational awareness.

AB - In civil security, knowledge graphs play a crucial role by representing complex relationships among key entities, enhancing operational efficiency and ultimately ensuring the safety and well-being of communities. In this paper we introduce the technical tasks and methodology used for the applications of knowledge graphs in the context of civil security and describe the design of a software system for creating and leveraging knowledge graphs in use-cases such as hybrid threats identification, supply-chain resilience and situational awareness.

KW - nlp

KW - civil security

KW - knowledge graphs

M3 - Conference Proceedings with Oral Presentation

BT - Knowledge Graphs and Neurosymbolic AI (KG-NeSy) in Austrian 2024 Symposium on AI, Robotics and Vision (AIROV24)

CY - Innsbruck, Austria

T2 - The First Austrian Symposium on AI, Robotics, and Vision

Y2 - 25 March 2024 through 27 March 2024

ER -

Knowledge Graphs and their Applications in Civil Security

Abstract

Conference

Research Field

Keywords

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