Personalized manufacturing service recommendation using semantics-based collaborative filtering

With the growing emergence of distributed manufacturing services over the Internet, many efforts have been made to semantically describe the manufacturing services, facilitating accurate retrieval of the required services derived from semantic matchmaking of service capabilities. However, semantic annotation of vast manufacturing services remains an open issue. Most of the efforts have been proposed to semantically annotate the manufacturing services in an inefficient manual manner. This article presents a novel collaborative filtering method for automating the semantic annotation of manufacturing service capabilities and making the personalized manufacturing service recommendation based on the usage data of previous retrievals made for similar annotations. A prototype system is built and validated with an illustrative example from manufacturing industry to demonstrate the feasibility and efficiency of the proposed approach for automatic service annotation and personalized service recommendation.