Abstract: To assign the appropriate collaborative customers for product innovation tasks,a selection model to elaborate the interrelationship between product innovation tasks,customers and their knowledge was proposed from knowledge perspective.According to the characteristics of product innovation tasks and customers'knowledge,the ontology theory was used to model them,and the appropriate customer's knowledge for the task was matched with concept semantic similarity algorithm.On this basis,the mastery of customers for knowledge and the importance of customers for tasks were evaluated quantitatively,which provide the decision making basis to select the appropriate customers for product innovation tasks.The effectiveness and validity of proposed method were verified through application examples.

Key words: product innovation task, collaborative customer, customer's knowledge, ontology, concept semantic similarity

摘要： 为了给产品创新任务指派合适的协同创新客户,基于知识视角提出协同创新客户选择模型,该模型阐述了产品创新任务、客户及客户知识三者之间的相互关系。根据产品创新任务和客户知识特点,利用本体论对二者进行建模,并基于概念语义相似度算法为任务匹配合适的客户知识;在此基础上,定量评估客户对任务所需知识的掌握程度以及对任务的重要性,从而为产品创新任务选择合适的客户提供决策依据;通过应用实例,验证了模型和方法的可行性与有效性。

关键词: 产品创新任务, 协同创新客户, 客户知识, 本体论, 概念语义相似度