From Heterogeneous Sensor Networks to Integrated Software Services: Design and Implementation of a Semantic Architecture for the Internet of Things at ARCES@UNIBO Article Swipe
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· 2018
· Open Access
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· DOI: https://doi.org/10.23919/fruct.2018.8588024
The Internet of Things (IoTs) is growing fast both in terms of number of devices connected and of complexity of deployments and applications. Several research studies analyzing the economical impact of the IoT worldwide identify the interoperability as one of the main boosting factor for its growth, thanks to the possibility to unlock novel commercial opportunities derived from the integration of heterogeneous systems which are currently not interconnected. However, at present, interoperability constitutes a relevant practical issue on any IoT deployments that is composed of sensor platforms mapped on different wireless technologies, network protocols or data formats. The paper addresses such issue, and investigates how to achieve effective data interoperability and data reuse on complex IoT deployments, where multiple users/applications need to consume sensor data produced by heterogeneous sensor networks. We propose a generic three-tier IoT architecture, which decouples the sensor data producers from the sensor data consumers, thanks to the intermediation of a semantic broker which is in charge of translating the sensor data into a shared ontology, and of providing publish-subscribe facilities to the producers/consumers. Then, we describe the real-world implementation of such architecture devised at the Advanced Research Center on Electronic System (ARCES) of the University of Bologna. The actual system collects the data produced by three different sensor networks, integrates them through a SPARQL Event Processing Architecture (SEPA), and supports two frontend applications for the data access, i.e., a web dashboard and an Amazon Alexa voice service.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.23919/fruct.2018.8588024
- OA Status
- green
- References
- 47
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2907715032
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2907715032Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.23919/fruct.2018.8588024Digital Object Identifier
- Title
-
From Heterogeneous Sensor Networks to Integrated Software Services: Design and Implementation of a Semantic Architecture for the Internet of Things at ARCES@UNIBOWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-11-01Full publication date if available
- Authors
-
Cristiano Aguzzi, Francesco Antoniazzi, Paolo Azzoni, Luciano Bononi, Francesco Brasini, R. Canegallo, Alfredo D’Elia, Angelo De Lisa, Marco Di Felice, Eleonora Franchi, Luca Perilli, Luca Roffia, Luca Sciullo, Roberto Siagri, M.G. Verardi, Tullio Salmon CinottiList of authors in order
- Landing page
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https://doi.org/10.23919/fruct.2018.8588024Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://hdl.handle.net/11585/661242Direct OA link when available
- Concepts
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Computer science, Interoperability, Wireless sensor network, Ontology, World Wide Web, Computer network, Epistemology, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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47Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 16 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.6100000143051147 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.18561955 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |