From Data to Service Intelligence: Exploring Public Safety as a Service

Drăgoicea, Monica; Badr, Nabil Georges; Cunha, João Falcão e; Oltean, Virginia Ecaterina

doi:10.1007/978-3-030-00713-3_26

Cited by 7 publications

(5 citation statements)

References 35 publications

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“…Fig. 1 summarizes the roadmap towards the creation of an ecosystem of such complex services, that is judged as a value co-creation network [93] among all the participants in the city resilience-prone processes [29]. It is dedicated to engineering of information intensive services in public safety and their exposure as information common goods.…”

Section: Working Methodologymentioning

confidence: 99%

“…Various approaches to advance with data the development of information intensive services (IIS) in public safety for the specific case of water resources management may be integrated today, such as water pollution control [24], [43], with information-based intelligence [44], stressing the role of digital technologies for public safety concerns [45], [29] in managing urban water sustainably [46]. To create, evaluate, and understand the general situation of data integration through IIS for water resource management and to apply Exploratory Data Analysis [40] for the assessment of critical situations in public safety, in this section we explain two general use cases on data collection in Cyber-Physical Systems (CPS).…”

Section: Review On Data Quality Evaluation In Cyber Physical Systemsmentioning

confidence: 99%

“…A novel ICT framework that approaches on three levels -data, sustainability, and governance -the implementation of the SDGs has been introduced in [28]. Reference [29] introduces a discussion related to public safety and its correlation to the four priorities of action described by the Sendai Framework for Disaster Risk Reduction, identifies key data intensive activities from these recommendations, and describes two managerial implications in service ecosystems, with a discussion on a Viable Systems Approach (vSa) perspective [30] on the response to disasters operating rules. Other position papers explain specific corporate and agency activities aiming to support the achievement of the SDGs though various ICT services and related initiatives [31]- [33].…”

Section: Introductionmentioning

confidence: 99%

“…Here, a data-centric situational perspective for complex service engineering to support resilience building with respect to hazardous events is built and explored. It aims to operationalize the Public Safety as a Service vision that is defined as an ''inclusive and responsible value co-creation design vision for liveable regions, fostering the expansion of service knowledge to multiple public service contributors, potentially transforming data into information using service intelligence to create sustainable, resilient, and trustworthy service ecosystems'' [29]. This definition advances public safety as a major dimension of action that requires innovated resilience building activities integrating safety critical service processes within the scope of the Sendai Framework for Disaster Risk Reduction [24] and the 17 Sustainable Development Goals defined by the United Nations General Assembly [26].…”

Section: Introductionmentioning

confidence: 99%

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Managing Data, Information, and Technology in Cyber Physical Systems: Public Safety as a Service and its Systems

et al. 2019

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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 domainspecific 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.

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Section: Working Methodologymentioning

confidence: 99%

Section: Review On Data Quality Evaluation In Cyber Physical Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Managing Data, Information, and Technology in Cyber Physical Systems: Public Safety as a Service and its Systems

et al. 2019

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“…Several conditions are needed for a business to be considered a viable system (Barile and Polese, 2010b). As stated by Drăgoicea et al (2018, p. 351), “a viable service system evolves as a triple loop learning system, aimed to improve (i) efficiency (plans), (ii) effectiveness (goals) and sustainability (relationships and resources)”. Viability also relates to the concept of resilience, which is the ability of a system “to transform itself by absorbing recurrent perturbations, dealing with uncertainty and risk and still sustaining its essential properties” (Barile et al , 2019, p. 97).…”

Section: Literature Reviewmentioning

confidence: 99%

Viability amid systemic crisis: the CORER framework

Spena

Mele

Kaartemo

et al. 2022

JBIM

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Purpose The COVID-19 wave spread all over the global market, affecting all industries. This paper aims to develop the understanding of how service systems can enhance their viability when facing rapid systemic changes. Design/methodology/approach The authors use data from Reddit, and particularly the subreddit r/coronavirus, to identify posts that discuss the impact of coronavirus on business. The authors use an algorithm to scrape the data with business-related search terms and elaborate relevant posts. Findings The findings show key topics and related sentiments on the impact of COVID-19 on business. Service systems can enhance viability by identifying alternative paths for emerging opportunities (by being creative), seize opportunities offered by the changing environment (by being opportunistic), not compromise conditions for internal balance (by being resilient), focus attention on critical purposes (by being essential) and perform nonharmful actions (by being responsible). Originality/value This paper proposes a framework depicting five possible key enhancers of viability to face a systemic crisis. In brief, companies need to ensure that they are creative, opportunistic, resilient, essential and responsible.

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