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Development of an Ontology-based Expert Recommendation System for Product Empirical Knowledge Consultation

机译:基于本体的产品经验知识咨询专家推荐系统的开发

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摘要

Product lifecycle, a knowledge-intensive process, consists mainly of market analysis, product design and process development, product manufacturing, product distribution, product in use, post-sale service, and product recycling. Performing and achieving each activity orrnHowever, effective consultation and sharing of tacit product empirical knowledge would greatly enhance product market competitiveness. Therefore, effectively and correctly sharing product empirical knowledge from domain experts in different organizations require developing an expert recommendation system for product empirical knowledge consultation, which is priority concern for product knowledge management. This study develops an expert recommendation system for product empirical knowledge consultation by using ontology to matchmaking of the required consultative experts quickly and correctly for the product empirical knowledge requester, thus sharing required product empirical knowledge by interpersonal communication to resolve product-related problems efficiently. The tasks involved in this study include: (ⅰ) designing an expert recommendation process for product empirical knowledge consultation, (ⅱ) developing an expert recommendation method for product empirical knowledge consultation, and (ⅲ) implementing an expert recommendation mechanism for product empirical knowledge consultation.
机译:产品生命周期是一个知识密集型过程,主要包括市场分析,产品设计和过程开发,产品制造,产品分销,使用中的产品,售后服务和产品回收。执行和完成每个活动都将失败,但是,有效的协商和共享默认产品经验知识将大大提高产品市场竞争力。因此,有效和正确地共享来自不同组织的领域专家的产品经验知识需要开发用于产品经验知识咨询的专家推荐系统,这是产品知识管理的优先考虑事项。这项研究通过使用本体来快速,正确地为产品经验知识请求者匹配所需的咨询专家,从而开发了用于产品经验知识咨询的专家推荐系统,从而通过人际交流共享所需的产品经验知识,从而有效地解决了与产品相关的问题。这项研究涉及的任务包括:(ⅰ)设计用于产品经验知识咨询的专家推荐程序,(ⅱ)开发用于产品经验知识咨询的专家推荐方法,以及(ⅲ)实施用于产品经验知识咨询的专家推荐机制。

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