Semantic Service Matchmaking for Ad Hoc Supply Chain Formation: a Network Analysis Approach
Trung Duc Nguyen, Jason J. Jung · Frontiers in artificial intelligence and applications · 2013
Since the number of enterprises is getting larger, business collaborations become more complicated. Particularly, in a dynamic environment (e.g., supply chains), it has been difficult for the traditional enterprises to find and select relevant partners by using their rigid business relationship. In this paper, we propose a semantic service framework to conduct a supply chain formation, and more importantly, given a certain event, to choose the best business paths between two arbitrary enterprises. The participant enterprises are required to provide their own ontologies so as to to obtain semantic matches between the services and justify their semantic interoperability. As a result, in terms of two indicators (i.e., precision and agility), we have shown that the proposed framework outperforms traditional enterprise collaboration schemes.