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.

中文翻译：

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基于态势映射的专利知识表示与自动分类研究

专利是一种长期文献，其中包含大多数领域中最完整的设计信息。因此，它可以为设计师提供有价值的指导，以解决不同领域的各种设计问题。建立设计问题与专利知识在不同领域之间的映射关系，是为多学科专利知识的转移和结合创造激励渠道的关键。根据设计问题与专利知识之间的情况映射，提出一种专利知识表示和专利自动分类的方法。根据设计问题的类型，使用四个维度来描述问题情况，即功能，性能，关系和情感。多粒度情况属性是从不同的设计问题中提取的。建立结构化属性数据库。建立了问题情况与专利知识之间的映射关系。为了实现专利知识的有效利用，本研究研究了一种以情境属性为分类类别的自动专利分类方法。用这种方法开发了专利知识的申请系统。该系统可以支持对与设计问题有关的专利知识的搜索，并有效地帮助设计师实现创新的设计过程。本研究研究了一种使用情况属性作为分类类别的自动专利分类方法。用这种方法开发了专利知识的申请系统。该系统可以支持对与设计问题有关的专利知识的搜索，并有效地帮助设计师实现创新的设计过程。本研究研究了一种使用情况属性作为分类类别的自动专利分类方法。用这种方法开发了专利知识的申请系统。该系统可以支持对与设计问题有关的专利知识的搜索，并有效地帮助设计师实现创新的设计过程。