Knowledge Sharing based on Semantic Nets and Mereology to Avoid Risks in Manufacturing

The right information at the right time influences the enterprise and technical success. Sharing knowledge among members of a big organization may be a complex activity. And as long as the knowledge is not shared, can not be exploited by the organization. There are some mechanisms which can originate knowledge sharing. It is intended, in this paper, to trigger these mechanisms by using semantic nets. Moreover, the intersection and overlapping of terms and sub-terms, as well as their relationships will be described through the mereology science for the whole knowledge sharing system. It is proposed a knowledge system to supply to operators with the right information about a specific process and possible risks, e.g. at the assembly process, at the right time in an automated manufacturing environment, such as at the automotive industry.

Authors:

• Ulrich Berger
• Yuliya Lebedynska
• Veronica Vargas

Keywords:

• Automated manufacturing
• knowledge sharing
• mereology
• risk management
• semantic net.

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