Research on Semantic Attributes Based Partner Selection in Virtual Manufacturing Enterprises

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.