Analysis of LED standing/desk lamp patents by adding position weight concept to improved cosine similarity and probability method of patent categorization
| Autor: | Meng-han Lin, 林孟翰 |
|---|---|
| Rok vydání: | 2014 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 102 First of all, the study takes a test of patents relating to LED reading lamp. With position weight concept, these patent documents are divided into four positions with written description, namely the title of patent, abstract, description and claim(s). In accordance with the contents of these four position descriptions, and judging the difference in importance of these these four position descriptions for the patent document, the paper sets several combinations of different position weights for these four positions of patent documents, and then tests and finds out a better combination for these four positions. The better combination of different position weights is substituted in the study’s calculation equation of normalized numerical value calculated by the added position weight concept. The normalized numerical values which are calculated by the added position weight concept, for the various key technical words, part/component words and functional words, are taken as the weights of terms, replacing the original normalized numerical values calculated without addition of position weight concept. The above mentioned key technical words, part/component words and functional words are obtained by the term segmentation and word segmentation system of patent semantic analysis semi-automatically and semi-manually. It can better improve the analytic results of the related patents searched by innovative patent search method under the combined improved cosine similarity concept, and the results of patent categorization achieved by combination of improved cosine similarity and probability method of patent categorization. In this study, the position weight method is added in the patent categorization judgment which is combining improved cosine similarity with probability method of patent categorization. By doing so, the normalized numerical value, calculated by the added position weight method, of each patent keyword is substituted in the weight value of improved cosine similarity equation. After comparing the newly added patents with the various technical categories or functional categories, improved cosine similarity which is added position weight values is calculated. It is preliminarily judged that the newly added patent may be categorized into which technical category or which functional category. The normalized numerical value, calculated by the added position weight concept, of each keyword of the newly added patent is substituted in the weight value of the equation for probability method of patent categorization, in order to calculate the probability of patent categorization (Pj), judge whether the newly added patent is categorized into which technical category or which functional category, and further enhance the accuracy and efficiency in judgment of the categorization of the newly added patent. After employing the above method to test and analyze the related patents of LED reading lamp, the paper takes LED standing/desk lamp as the carrier of the study, and substitutes the better combination of different position weights in the study’s calculation equation of normalized numerical value calculated by the added position weight concept so as to calculate the normalized numerical value calculated by the added position weight concept of each keyword of patent. Combining with the innovative patent search method under the improved cosine similarity concept, the study searches the related patents, makes analysis of patents, and conducts patent categorization by combining improved cosine similarity with probability method of patent categorization. After practical addition to the related patents, it is verified that the added related patent is categorized to which one of 1st-layer, 2nd-layer technical category and functional category. Then, it is verified proving that the feasibility of the proposed innovative method of the study. The study first defines the 1st-layer, 2nd-layer technical category and functional category of LED standing/desk lamp, further produces the 1st-layer and 2nd-layer technical/functional matrix, and establishes word groups of technical words and functional words of the 1st-layer, 2nd-layer technical category and functional category. After that, the related patents searched carry out international patent classification (IPC) analysis, nationality analysis, applicant analysis and company analysis. According the 1st-layer and 2nd-layer technical/functional matrix, it can establish the 1st-layer technical category and the 2nd-layer technical category, as well as company analysis chart, IPC analysis chart of core competitive companies, research and development (R&;D) vitality trend chart of competitors, and vitality trend chart of the 1st-layer and 2nd-layer technical categories. The above analytic results can be provided to enterprises and engineers to save their R&;D time, and can serve as a reference for production of new patents. Besides, they can also let enterprises understand the core competitiveness of their competitors. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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