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Research on Patent-Knowledge Representation and Automatic Classification Based on Situation Mapping

机译:基于情况映射的专利知识表示与自动分类研究

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A patent is a type of long-term literature containing the most complete design information in most fields. Thus, it can provide designers with valuable guides for solving various design problems in different fields. Establishing the mapping relationship between the design problem and patent knowledge in different fields is the key to creating an incentive channel for the transfer and combination of multidisciplinary patent knowledge. According to the situation mapping between the design problem and patent knowledge, a method for patent-knowledge representation and automatic patent classification is proposed in this paper. The problem situation is described using four dimensions, namely, function, performance, relationship, and emotion, according to the design-problem types. Multigranular situation attributes are extracted from different design problems. A structured attribute database is established. The mapping relationship between the problem situation and patent knowledge is developed. To realize the effective utilization of the patent knowledge, this study investigates an automatic patent-classification method using the situation attributes as classification categories. An application system of patent knowledge is developed by this method. The system can support the search for patent knowledge related to the design problem and effectively assist designers in achieving an innovative design process.
机译:专利是一种长期文献,包含最完整的设计信息在大多数领域。因此,它可以提供具有有价值的指南的设计者,用于解决不同领域的各种设计问题。建立不同领域的设计问题和专利知识之间的映射关系是为传输和组合的多学科专利知识创建激励渠道的关键。根据设计问题和专利知识之间的情况,本文提出了一种专利知识表示和自动专利分类的方法。根据设计问题类型,使用四维,即功能,性能,关系和情感来描述问题情况。多个人情况属性从不同的设计问题中提取。建立了结构化属性数据库。开发了问题情况和专利知识之间的映射关系。为了实现专利知识的有效利用,本研究使用作为分类类别的情况属性来调查自动专利分类方法。通过这种方法开发了专利知识应用系统。该系统可以支持搜索与设计问题相关的专利知识,并有效地帮助设计师实现创新的设计过程。

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