Semantic Techniques to Support IoT Interoperability
Studies in Computational Intelligence, ISSN: 1860-9503, Vol: 941, Page: 229-244
2021
- 5Citations
- 1Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
Smart devices and sensors have reached a very high level of pervasiveness: we are practically surrounded by intelligent items, which continuously communicate with each other and collect information. One of the most challenging issues regarding the use of such sensors regards the possibility to seamlessly make them interoperate to reach a specific goal. This objective could be difficult to achieve, due to the lack of a universally accepted standard for sensor communications. In this paper, we present a prototype tool for the analysis of sensors’ API that, through a semantic graph representation, tries to overcome the possible interoperability issues that may arise in a sensor network, and provides instrument to support sensors’ orchestration and management.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85104347935&origin=inward; http://dx.doi.org/10.1007/978-3-030-64619-6_10; https://link.springer.com/10.1007/978-3-030-64619-6_10; https://dx.doi.org/10.1007/978-3-030-64619-6_10; https://link.springer.com/chapter/10.1007/978-3-030-64619-6_10
Springer Science and Business Media LLC
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