WoO enabled IoT service provisioning based on learning user preferences and situation
Sajjad Ali, Muhammad Golam Kibria, Ilyoung Chong · 2017
One of the reasons behind failure or not being successful of an IoT service is due to the fact that, such a service do not cater to the end user needs precisely. An important ingredient in successful IoT service provisioning is to intelligently select service using the preferences and situation of requesting users. This not only provides effective service delivery but also reduces the time of service processing. Preferences of service user can be modeled by detecting regularities in their behavior and produce a hypothesis about their preferences. To enable service provisioning real world objects are virtualized using semantic ontology in Web of Objects (WoO) platform, to be interoperable and interconnected with each other. This paper proposes an approach to dynamic service provisioning based on user preferences and situation in a WoO enabled IoT system. It also contributes Real World Knowledge (RWK) model incorporating user preferences and situational information.