Capturing the contributions of the semantic web to the IoT: a unifying vision
| Autor: | Seydoux, Nicolas, Drira, Khalil, Hernandez, Nathalie, Monteil, Thierry |
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| Rok vydání: | 2017 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| Popis: | The Internet of Things (IoT) is a technological topic with a very important societal impact. IoT application domains are various and include: smart cities, precision farming, smart factories, and smart buildings. The diversity of these application domains is the source of the very high technological heterogeneity in the IoT, leading to interoperability issues. The semantic web principles and technologies are more and more adopted as a solution to these interoperability issues, leading to the emergence of a new domain, the Semantic Web Of Things (SWoT). Scientific contributions to the SWoT are many, and the diversity of architectures in which they are expressed complicates comparison. To unify the presented architectures, we propose an architectural pattern, LMU-N. LMU-N provides a reading grid used to classify processes to which the SWoT community contributes, and to describe how the semantic web impacts the IoT. Then, the evolutions of the semantic web to adapt to the IoT constraints are described as well, in order to give a twofold view of the convergence between the IoT and the semantic web toward the SWoT. Comment: 23 pages, 5 tables, 3 figures, submission to the Semantic Web Journal (Internet of Things special issue) and subject of an extended abstract to the SWIT2017 (https://swit2017.github.io/) workshop |
| Databáze: | arXiv |
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