【摘要】 由于不同的产品生命周期管理(PLM)系统在产品描述上存在着许多语义差异,限制了协同企业的产品信息共享.采用人工的信息检索方法工作量很大,而基于语义转换规则和结构匹配的自动检索技术又过于复杂,难以在实际PLM系统中运用.利用Bayes网在处理语义模糊匹配问题上的优势,将其与本体技术结合,提出了扩展的Bayes网检索模型,能高效并较准确地获取协同企业PLM系统中的目标对象.更多还原

【Abstract】 Owing to the semantic differences of product descriptions among diverse Product Life-cycle Management(PLM) systems,the product information sharing remains problematic to collaborative enterprises.As such,current solutions are fairly applicable due to the heavy workload of manual information retrieval methods and the complexity of automatic retrieval methods using semantic conversion rules and structural matching.By taking advantage of Bayes network for fuzzy semantic matching,an extended Bayes-network-enabled information retrieval model is proposed and integrated with the ontological technology,so as to efficiently and accurately obtain the target objects of PLM systems for collaborative enterprises.更多还原