Abstract
This paper introduces a unified representation for collaborative development of complex services in public safety to explain the infusion of digital technologies into the design of the community resilience processes with respect to the potential hazardous events. It aims at helping to understand how ICT-based knowledge may help stakeholders situated in various positions inside society to participate collaboratively to service development actions. It presents a roadmap to conceive, design, and operationalize the creation of digital artefacts to compound its supporting systems, including the digital one. This representation includes a way of describing the domain of interest to conceive complex services employing human-oriented development, a way of reasoning on the resilience processes complexity, using semantic reasoning along with the time series quality assurance (TSQA) solution ontology, and a way of developing data processing components as internal (technical) services in enterprise information systems to support the design of novel environmental monitoring digital services. A unified semantic reasoning-based approach to evaluate data quality in cyber-physical systems is described to exemplify the creation of a complex public service ecosystem that promotes collaborative knowledge sharing to formalize the domain expertise through the information intensive services. The TSQA ontology integrates knowledge from other domain-specific ontologies to define and share concepts designating observations acquired from sensors, quality issues, methods for detecting quality issues and correcting data, and tags applied to data objects to assure the data traceability. A semantic component that manages the TSQA ontology and the SWRL-encoded rules are introduced in the data acquisition module of a cyber-physical system application for environmental monitoring to solve a specific problem of data cleaning associated with the water resources management. This method is applicable to any time series of measured data.
Highlights
A growing number of activities related to hazard assessment and evaluation of vulnerability to hazardous events in public safety has been associated with a laborious data collection effort that is being accompanied by digital systems and technologies such as ICT, Internet, Semantic Web, Big Data, sensors, blockchains, mobile systems, machineThe associate editor coordinating the review of this manuscript and approving it for publication was Jinsong Wu.reasoning, machine learning, and robotics, or intelligent immersive systems
The method presented in this paper introduces a semantic component in the data acquisition module of a Cyber-Physical System for environmental monitoring to solve specific problems of data quality assurance, here the difficult problem of separation of True Positive data from False Positive data
Statistical-based automated spike/peaks detection methods consider that a time series is faulty when more than m% spikes are detected in a t time interval. ‘‘Rule 68-95-99.7’’ states that 68% of the data with a normal distribution must be located within one standard deviation (σ ) of the mean (μ), 95% within two standard deviations, and 99.7% within three standard deviations [107]
Summary
The associate editor coordinating the review of this manuscript and approving it for publication was Jinsong Wu. reasoning, machine learning, and robotics, or intelligent immersive systems (such as augmented reality and mixed reality). Reasoning, machine learning, and robotics, or intelligent immersive systems (such as augmented reality and mixed reality) This digital evolution incents the implementation of novel decision-making activities in public safety in times of need through modern Emergency Management Information Systems implemented worldwide, to improve the city resilience processes by automating their activities with various digital technologies [1]. New safety functionalities may be enabled through the Internet of Services (IoS) by exploiting connectivity, integrating various operational processes to increase co-created value through novel public service offerings facing complex situations in Society. New public service operating modes using digitized artefacts supporting digital innovations are required [3], [4]
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