@article{(Open Science Index):https://publications.waset.org/pdf/2348,
	  title     = {Knowledge Sharing based on Semantic Nets and Mereology to Avoid Risks in Manufacturing},
	  author    = {Ulrich Berger and  Yuliya Lebedynska and  Veronica Vargas},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {2},
	  number    = {5},
	  year      = {2008},
	  pages     = {646 - 649},
	  ee        = {https://publications.waset.org/pdf/2348},
	  url   	= {https://publications.waset.org/vol/17},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 17, 2008},
	}