Semantic Interoperability Methods for Smart Service Systems: A Survey

Burzlaff, Fabian; Wilken, Nils; Bartelt, Christian; Stuckenschmidt, Heiner

doi:10.1109/tem.2019.2922103

Cited by 15 publications

(8 citation statements)

References 44 publications

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“…The IoT is envisioned as the connectivity of every object through the internet to send, share, exchange, and comprehend data and information [53]. Thus, IoT services generate new data that can be turned into useful knowledge, which enables the implementation of certain types of smart solutions and applications (e.g., smart health care, smart homes, connected cars, self-driving vehicles, smart farming, and smart agriculture) [54].…”

Section: Yellow Clustermentioning

confidence: 99%

Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues

Manesh

Pellegrini

Marzi

et al. 2021

IEEE Trans. Eng. Manage.

183

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Due to increased competitive pressure, modern organizations tend to rely on knowledge and its exploitation to sustain a long-term advantage. This calls for a precise understanding of knowledge management (KM) processes and, specifically, how knowledge is created, shared/transferred, acquired, stored/retrieved, and applied throughout an organizational system. However, since the beginning of the new millennium, such KM processes have been deeply affected and molded by the advent of the fourth industrial revolution, also called Industry 4.0, which involves the interconnectedness of machines and their ability to learn and share data autonomously. For this reason, the present study investigates the intellectual structure and trends of KM in Industry 4.0. Bibliometric analysis and a systematic literature review are conducted on a total of 90 relevant articles. The results reveal 6 clusters of keywords, subsequently explored via a systematic literature review to identify potential stream of this emergent field and future research avenues capable of producing meaningful advances in managerial knowledge of Industry 4.0 and its consequences.

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Section: Yellow Clustermentioning

confidence: 99%

Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues

Manesh

Pellegrini

Marzi

et al. 2021

IEEE Trans. Eng. Manage.

183

View full text Add to dashboard Cite

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“…Out of all of the standards identified though, only a few (e.g., NIST, SGAM, VDE) account for syntactic and semantic interoperability. Semantic interoperability has been gaining a lot of attention since 2013 [13] due to emerging technologies, such as Internet of Things and Distributed Systems. An interesting gap in the review presented in [13] is the absence of a methodology analysis regarding the evaluation of semantic interoperability (Research Question 4).…”

Section: Related Workmentioning

confidence: 99%

“…Semantic interoperability has been gaining a lot of attention since 2013 [13] due to emerging technologies, such as Internet of Things and Distributed Systems. An interesting gap in the review presented in [13] is the absence of a methodology analysis regarding the evaluation of semantic interoperability (Research Question 4). Nevertheless, there are interesting approaches for interoperability testing for IoT systems, such as the testing tool proposed by the F-INTEROP research project [14].…”

Section: Related Workmentioning

confidence: 99%

Semantic Interoperability for DR Schemes Employing the SGAM Framework

Cimmino

Andreadou

Fernández-Izquierdo

et al. 2020

2020 International Conference on Smart Energy Systems and Technologies (SEST)

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Demand Response (DR) systems are gaining momentum in the EU energy markets albeit based on fragmented standards that, as a result, hinder interoperability. These discrepancies necessitate the introduction of a semantically enriched umbrella framework that will allow DR systems to exchange and consume data transparently, an issue that is currently unaddressed. Furthermore, to support semantically interoperable DR architectures, a multi-layer compliance testing framework is required that will examine and quantify the technical, syntactic and semantic properties of individual DR systems. In this work, the aforementioned gaps in the literature are addressed by, first, introducing an OpenADR-based semantic enrichment component. According to the guidelines of the Smart Grid Architecture Model (SGAM) framework, a concrete evaluation procedure of this component is presented, which allows for a step-by-step syntactic and semantic testing. Following the identification of the instruments composing the testbed and the equipment/links under test at SGAM's communication and information layers, the Basic Application Interoperability Profiles (BAIOPs) are defined and their involved steps are described. Experiments demonstrate the validity of the presented methodology, while also evaluating the introduced component.

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“…As a real application it is considered an organization of the telecommunications area that organizes its tasks through business process models, the company constantly renews its processes according to what the market is demanding, as a consequence of this, the need arises to have some sort of automatic recovery system processes. [17].…”

Section: B Declaration Of the Problemmentioning

confidence: 99%

Measure of Semantic Likeness Among Business Process Activities in a Telecommunication Company

et al. 2020

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The study proposes a measure of semantic similarity to solve the wide variety of business process recovery problems, these measures allow to compare the processes of business models useful for reuse, redesign or reengineering process. A metric that demonstrates the similarity between a reference model or fragment of it is proposed. These metrics focus on the activities that make up a business process and are developed through three measures: syntactic, linguistic and semantic similarities. The results show that the proposed measure is suitable for reuse purposes in manufacturing processes, being a useful tool in the area of knowledge management and process administration.

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Semantic Interoperability Methods for Smart Service Systems: A Survey

Cited by 15 publications

References 44 publications

Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues

Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues

Semantic Interoperability for DR Schemes Employing the SGAM Framework

Measure of Semantic Likeness Among Business Process Activities in a Telecommunication Company

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