Abstract: The rapid development of information technology strongly promotes the process of market globalization.The trend of economic globalization has brought unprecedented opportunities and challenges to small and medium-sized enterprises (SMEs).Enterprises can no longer survive in an isolated-island way.In order to quickly respond to the changing market demand,SMEs need to establish dynamic collaborative relationship with other enterprises while focusing on their core business.To solve the problem of how to construct dynamic collaborative enterprise alliance efficiently,a method of dynamically recommending the best partners in the process of inter-enterprise collaboration is proposed by building domain ontologies and using semantic detection technology.This method aims to break through the defects of traditional enterprise collaboration,such as “fixed cooperative participants” and “single cooperative mode”,and can quickly and efficiently recommend competent participants considering the matching between the specific cooperative goals (& preferences) and capabilities and attributes.By studying enterprise modeling and enterprise collaboration managementand summarizing the research status of model-driven enterprise collaboration construction methods,a meta-model to describe the context of inter-enterprise collaboration is defined.Furthermore,the corresponding domain ontologies and semantics detection methods are proposed to improve the efficiency of dynamic recommendation of partners.Finally,the effectiveness of this recommendation method is demonstrated by a case study of disassembly and connection machine manufacturing and its performance is evaluated.

Key words: Domain ontology, Inter-enterprise collaboration, Knowledge-driven, Meta-model, Semantic checking