Automating Industrial Communication Standards selection by using a Knowledge-based systems

The Internet has extended to yet another different area result in lower electrical expenses, greater computer capabilities, and breakthroughs in sensing devices. And thus, more intelligent devices would be exposed to the system inside the coming years, spawning entrepreneurial ventures. Organizations may use IoT to streamline operational efficiency and significantly decrease expenditure. It moreover reduces the amount of inefficiency and enhances customer experience, lowering the cost of manufacturing and delivering items while also providing openness regarding client communication. To increase reliability, maintainability, and scalability and to make M2M connections more effective, businesses need a good KBS. The main application of AI is KBS. Such technologies can make judgments depending on the evidence and files contained in its database. so, they also understand the relevance of the information that is analyzed. In this thesis, we use knowledge-based systems and databases to achieve our relevant results. This thesis is separated into two parts. One of our goals was to learn about databases as well as how they assist intelligent devices to perform better. The other part was to master Neo4j and how Neo4j is best in Graph databases. Neo4j database contains information in the better native form, linked state, pre-serving interaction between the data that enable quick searches, richer background enabling insights, as well as a painless database design transformation