Semantic Knowledge Representation in Terrorist Threat Analysis for Crisis Management Systems

Chmielewski, Mariusz; Gałka, A.; Jarema, Piotr; Krasowski, Kamil; Kosiński, Artur

doi:10.1007/978-3-642-04441-0_40

Cited by 9 publications

(5 citation statements)

References 1 publication

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“…for representing terrorism events [16]; • An ontology for uncovering terrorism-related hidden semantic associations, which was the result of knowledge fusion from several existing ontologies and open knowledge systems, like, e.g., the Global Terrorism Database [11].…”

Section: Related Workmentioning

confidence: 99%

Deploying Semantic Web Technologies for Information Fusion of Terrorism-related Content and Threat Detection on the Web

Mitzias

Kontopoulos

Staite

et al. 2019

IEEE/WIC/ACM International Conference on Web Intelligence - Companion Volume

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The Web and social media nowadays play an increasingly significant role in spreading terrorism-related propaganda and content. In order to deploy counterterrorism measures, authorities rely on automated systems for analysing text, multimedia, and social media content on the Web. However, since each of these systems is an isolated solution, investigators often face the challenge of having to cope with a diverse array of heterogeneous sources and formats that generate vast volumes of data. Semantic Web technologies can alleviate this problem by delivering a toolset of mechanisms for knowledge representation, information fusion, semantic search, and sophisticated analyses of terrorist networks and spatiotemporal information. In the Semantic Web environment, ontologies play a key role by offering a shared, uniform model for semantically integrating information from multimodal heterogeneous sources. An additional benefit is that ontologies can be augmented with powerful tools for semantic enrichment and reasoning. This paper presents such a unified semantic infrastructure for information fusion of terrorism-related content and threat detection on the Web. The framework is deployed within the TENSOR EU-funded project, and consists of an ontology and an adaptable semantic reasoning mechanism. We strongly believe that, in the short-and long-term, these techniques can greatly assist Law Enforcement Agencies in their investigational operations.

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Section: Related Workmentioning

confidence: 99%

Deploying Semantic Web Technologies for Information Fusion of Terrorism-related Content and Threat Detection on the Web

Mitzias

Kontopoulos

Staite

et al. 2019

IEEE/WIC/ACM International Conference on Web Intelligence - Companion Volume

View full text Add to dashboard Cite

show abstract

“…Its role in natural, societal, and technical processes is acute [ 4 , 6 , 31 , 32 , 33 ]. The detection and representation of real-world events and information has been addressed in and applied in domain such as system safety [ 11 , 12 , 34 ], cyber security [ 35 , 36 , 37 ], and counter-terrorism [ 38 , 39 ]. Recent advances in intelligent physical systems (IPS) have also raised the need for models for self- and environment-perception, observation, and activation, especially in the domains of microbiology and biochemistry [ 40 ].…”

Section: Related Workmentioning

confidence: 99%

Minding the Cyber-Physical Gap: Model-Based Analysis and Mitigation of Systemic Perception-Induced Failure

Mordecai

Dori

2017

Sensors

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The cyber-physical gap (CPG) is the difference between the ‘real’ state of the world and the way the system perceives it. This discrepancy often stems from the limitations of sensing and data collection technologies and capabilities, and is inevitable at some degree in any cyber-physical system (CPS). Ignoring or misrepresenting such limitations during system modeling, specification, design, and analysis can potentially result in systemic misconceptions, disrupted functionality and performance, system failure, severe damage, and potential detrimental impacts on the system and its environment. We propose CPG-Aware Modeling & Engineering (CPGAME), a conceptual model-based approach to capturing, explaining, and mitigating the CPG. CPGAME enhances the systems engineer’s ability to cope with CPGs, mitigate them by design, and prevent erroneous decisions and actions. We demonstrate CPGAME by applying it for modeling and analysis of the 1979 Three Miles Island 2 nuclear accident, and show how its meltdown could be mitigated. We use ISO-19450:2015—Object Process Methodology as our conceptual modeling framework.

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“…Several studies have referred to precise real-world event and information detection, with applications in system safety [16], cyber security [17], and counter-terrorism [18], [19]. These occurrences of PIED are typical; they have in common the criticality of identifying threats or emergency situations by software agents embedded in large technical, organizational, or socio-technical systems.…”

Section: Physical-informatical Essence Dualitymentioning

confidence: 99%

Modeling Software Agent Awareness of Physical-Informatical Essence Duality

Mordecai

Orhof

Dori

2014

2014 IEEE International Conference on Software Science, Technology and Engineering

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Physical-informatical essence duality (PIED) is the parallel existence of an entity as both the original, usually physical source, and its informatical representation, as held by each agent interacting with the entity. Software systems interacting with physical and real-world entities have to maintain internal representations of these entities in order to handle them appropriately. The importance of modeling the dual essence of these entities in software controlled systems is critical to the execution of software-integrated processes that affect physical real-world entities. The implications of PIED must therefore be recognized and accounted for. This paper introduces a PIEDaware conceptual modeling framework for software control agents acting in cyber-physical settings. We discuss the utilization of UML and OPM for this purpose and demonstrate the applicability of our OPM-based framework through the case of airport baggage handling processes. In particular, we show that PIED-aware modeling and design of system controls can significantly improve treatment of inherent anomalies such as the common lost baggage problem.

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Semantic Knowledge Representation in Terrorist Threat Analysis for Crisis Management Systems

Cited by 9 publications

References 1 publication

Deploying Semantic Web Technologies for Information Fusion of Terrorism-related Content and Threat Detection on the Web

Deploying Semantic Web Technologies for Information Fusion of Terrorism-related Content and Threat Detection on the Web

Minding the Cyber-Physical Gap: Model-Based Analysis and Mitigation of Systemic Perception-Induced Failure

Modeling Software Agent Awareness of Physical-Informatical Essence Duality

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