Abstract
Smart objects are now present in our everyday lives, and the Internet of Things is expanding both in number of devices and in volume of produced data. These devices are deployed in dynamic ecosystems, with spatial mobility constraints, intermittent network availability depending on many parameters (e.g. battery level or duty cycle), etc. To capture knowledge describing such evolving systems, open, shared and dynamic knowledge representations are required. These representations should also have the ability to adapt over time to the changing state of the world. That is why we propose IoT-O, a core-domain modular IoT ontology proposing a vocabulary to describe connected devices and their relation with their environment. First, existing IoT ontologies are described and compared to requirements an IoT ontology should be compliant with. Then, after a detailed description of its modules, IoT-O is instantiated in a home automation use case to illustrate how it supports the description of evolving systems.
Cite
CITATION STYLE
Seydoux, N., Drira, K., Hernandez, N., & Monteil, T. (2016). Iot-O, a core-domain IoT ontology to represent connected devices networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10024 LNAI, pp. 561–576). Springer Verlag. https://doi.org/10.1007/978-3-319-49004-5_36
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.