Hierarchy Based Best Reasoning Semantic for Community Internet of Things
Abstract: 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 caseswhen 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
singleassumed 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.
Author: Qiaoling Xie, Ningshe
Zhao, Ruo Hu
Journal Code: jptkomputergg160068
