Combining Concept Mapping with Entropy Information to Evaluate the Level of Patent Disclosure

結合概念圖與訊息熵評估專利充分揭露

張桂豪(Kuei-Hao Chang)

《中國機械工程學刊》 39卷2期 (2018/04) Pp. 187-196

摘要

In this study, concept mapping is used to analyze and measure the patent claims in terms of several assessment criteria, which included claims, hierarchies, links, branches and exemplified embodiments. The weight of each assessment criteria was calculated using entropy theory in order to quantify the knowledge structure of a patent claims and identify differences between patent documents. The use of information entropy theory creates an entropy distribution which allows us to evaluate the level of patent disclosure. This is the first time that entropy weight and concept mapping have been used together in the field of patent analysis. This study asserts that concept mapping is a useful tool for inventors trying to adequately disclose the technical content of their inventions, as use which would increase the likelihood of the patent application being successful. While this study uses concept mapping to analyze the technical content of patent documents, its use as a tool for disclosure would allow inventors to better comprehend and detail the knowledge structure of their invention, thus improving the quality of patent documents. It is worth mentioning that Patent Law requires applicants to meet standards for sufficiency of disclosure, with the aim that any person moderately skilled in the art can implement the invention disclosed in the patent documents.

關鍵字

Patentable ； Invention Disclose ； Patent Scope ； Energy-Saving ； Information Entropy

並列摘要

本文旨在應用概念圖與訊息熵探討專利文件充分揭露程度。方法是以概念圖之元素，層級，鏈接，分支與實施例等指標來量測專利範圍知識本體，接著使用訊息熵理論計算每個評估指標之權重，以量化專利請求項之知識本體並識別專利文件之間的差異。信息熵理論與概念圖之結合可創造出專利範圍本體之訊息熵分佈，此有益於評估專利文件充分揭露水平與專利品值。