Abstract
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.
Highlights
According to a study by the World Intellectual Property Organization, 90%–95% of inventions in the world are reported by patents, and 80% of them are not recorded in any other texts
Noh [11] and Cong [12] extracted the inventive principle of a design problem as a situation attribute in order to mine the technical information of patent knowledge and establish a unified representation model of a patent
Wu [25] proposed an automatic classification method based on selforganizing maps and support vector machine (SVM), which can help in effectively analyzing the quality of a patent
Summary
According to a study by the World Intellectual Property Organization, 90%–95% of inventions in the world are reported by patents, and 80% of them are not recorded in any other texts. Noh [11] and Cong [12] extracted the inventive principle of a design problem as a situation attribute in order to mine the technical information of patent knowledge and establish a unified representation model of a patent. Li [13] extracted the functional information of a product as a situation attribute of the design problem and realized effective mining of tacit knowledge in patent knowledge. To support the complex mapping process between the design problems and patent knowledge, systematically organizing the patent knowledge according to different situation attributes is necessary. Wu [25] proposed an automatic classification method based on selforganizing maps and support vector machine (SVM), which can help in effectively analyzing the quality of a patent. A method for patent-knowledge representation and automatic patent classification based on situation mapping is proposed in this paper. An automatic classification method of patent information based on situation attributes was proposed, and an experiment on automatic patent classification using situation attributes as categories was carried out using a computer. e established classifier in the experiment was used to classify a large number of unknown patent texts when the classification results satisfied the general use. e application system of the patent knowledge was developed by the proposed method, which realized effective use of patent knowledge in solving innovative design problems
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