GDL

Hierarchy Based Best Reasoning Semantic for Community Internet of Things

One of the major difficulties in community environments is to organize learning, because in fields, such as event handling or users remote monitoring, dispatching data is important and critical. Internet of Things (ITs) consists of large semantic nodes which can be used in many new producing fields like community. In this paper, a Hierarchy based reasoning semantic standard has been proposed for community fields. So it is important in the first place to avoid learning as much as possible and in cases when learning escaping is not possible, to control the learning. The proposed standard which is called ENDE avoids learning in the first step using multi-way. We discriminate between observant, non-observant and control communication, and service the input communication based on their importance and quality of service requirements. In cases where input communication rate increases and learning cannot be avoided, it relieves learning by using a best learning control method. The proposed AQS method uses single assumed rank's condition on a single practical rank to accept or drop the imputing packages. The performance of ENDE was assessed using the imitation semantic system. Imitation results indicated that ENDE achieves its goals.

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