Abstract
Selection of correct partner is one of the most crucial factors in organizing virtual enterprises. Approaches of partner selection do not consider the semantic features in building a virtual enterprise. In this paper, we describe a system that can select partners effectively through semantic attributes with naive Bayesian algorithm. We show that semantic features can be successfully extracted by applying naive Bayesian technology and build a knowledge base of potential partners in manufacturing enterprises. An example of machine tool industry is used to describe the approach.
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