Information Quality: The Nexus of Actionable Intelligence

Solano, Marco

doi:10.1007/978-3-030-03643-0_20

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…A maturity model can take different forms [42]. The alignment with data fusion includes the Information Quality Management Maturity model (IQM3) [43]. Previously, Bates highlighted a CMM for situation awareness [44].…”

Section: Information Fusion Capability Maturity Modelsmentioning

confidence: 99%

Value-based sensor and information fusion

Blasch

2024

Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII

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There are many examples, methods, and processes showing the importance of sensor, data, and information fusion. However, there is a need to determine the value added of information fusion in the context of data (e.g., multimodal, amount, and resolution), software (e.g., artificial intelligence/machine learning), hardware (e.g., size, weight, and performance), as well as architectures (e.g., cloud, fog, and edge computing). This paper utilizes the analytical hierarchy process (AHP) to determine the pairwise performance needs among different human-machine information fusion system tradeoffs to show the value added from sensor fusion. The paper examines the potential value added by coordinating deep, active, and reinforcement learning for information fusion systems. Among the information metrics, the combined methods of artificial intelligence learning methods highlight user requirements for accuracy, confidence, and timeliness.

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Section: Information Fusion Capability Maturity Modelsmentioning

confidence: 99%

Value-based sensor and information fusion

Blasch

2024

Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII

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“…The author of [13] proposed an improved aspect of high-level information linking (HLIF). Actively managing the quality of the information in HLIF is essential to ensure that it does not adversely affect decision-making and the ability to determine the best course of action (COA).…”

Section: Research Backgroundmentioning

confidence: 99%

“…Based on Uncertainty Modelling Application Area [7,8] no IQ management in a technical object maintenance system [9] no impact of information management elements on the results commercial banks [10] no comprehensive IQ management in mass production to order [11] no quality assessment in data acquisition using remote sensing [12] no the improvement of medical practice [13] no assessing the impact of information quality elements [14,15] no theoretical analysis of data quality management [16] no quality of marketing information [17] no quality management in telecommunications companies [18] no information quality in information systems [19] no information quality management in IoT systems [20] no quality of the information in the AIS process [21] no manage quality to improve fire alarm system security [22] yes management in solving the problem of aircraft parking [23] no IQ management to optimise the reliability of wind farm equipment [24] no IQ management to reduce air accident risk [25] yes manage the quality of data in IoT environments This article aims to present one of the aspects of IQM, namely the detection of imperfections in models of IQA (created by one of the authors [1,2]) based on uncertainty modelling. This aspect of IQM has been shown based on the example of cross-road light management, actually by the IQM of lights management.…”

Section: Publicationmentioning

confidence: 99%

Supporting Information Quality Management in Information and Communications Technology Systems with Uncertainty Modelling

et al. 2023

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Information quality management (IQM) is crucial in critical Information and Communications Technology (ICT) systems since our lives and health often depend on the quality of information that the systems provide. Especially in the field of transport, we can speak about critical systems. Worldwide, a small number of scientists take on these problems. This is because information quality (IQ) measurement is a very complex process, and IQM is impossible without IQ measurement. In the article, the authors used a method for IQ measurement created by one of them. This method for IQ measurement makes it possible to create IQM and IQ assessment (IQA). This article proposes a method for IQA that makes IQM possible. The authors demonstrated the possibility of searching for IQ modelling imperfections and offered a computation example for a road traffic light power system. In the final section authors present simulation results for two models. The results of this research can be used to optimise information flow. Employing IQA to evaluate ICT systems will enable controlling the maintenance of adequate IQ, among others, after changes to an ICT system or locating the quality models’ weakest or improper elements. The novelty of the presented IQM method is using multi-layer IQA based on uncertainty modelling.

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Fusion Orchestration Guidelines (FOG) for Collaborative Computing and Network Data Fusion

Blasch

2023

NAECON 2023 - IEEE National Aerospace and Electronics Conference

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Information Quality: The Nexus of Actionable Intelligence

Cited by 3 publications

References 18 publications

Value-based sensor and information fusion

Value-based sensor and information fusion

Supporting Information Quality Management in Information and Communications Technology Systems with Uncertainty Modelling

Fusion Orchestration Guidelines (FOG) for Collaborative Computing and Network Data Fusion

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