Constructing a Patent Keywords Analysis Platform based on Information Visualization

• Main Authors: Huang, Ying-Wei, 黃映瑋
• Other Authors: Yu, Hsin-Chun
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/ec8m8h

碩士 === 東海大學 === 資訊管理學系 === 106 === The amount of information available today is tremendous, making it impossible to interpret important information in a timely manner. This research will present the concept of information visualization, adhering to the idea of "the least amount of information presented under the ink" and "enhancing the interaction of the viewer's eyeballs", and the collected patent data will be passed through the platform in order to assist people understand the data more efficiently. Moreover, the patent database of each country provides users as a query in a categorical manner, but the traditional method of displaying patent information does not allow users to quickly read useful information in the patent information that is queried. The paper will propose a patent-based searching information platform architecture, and implement its functions according to its process to assist users in the search and analysis of patents related to smart grid technology. In the patent retrieval process, the proposed framework first uses the method of keywords extraction to peel off the articles, and the user can input the selected keywords and perform a comparative analysis of the global patent database. The keyword-to-title, summary and full-text ratios are presented to the user in a variety of visual ways, so that users can quickly understand the data profile and assist the user as a tool for searching patent materials, and improve the efficiency of the use of patent search data platform.