提升基於宣告結構進行專利前案搜尋之 時間效率與準確性

Enhancing Time-efficiency and Accuracy of Patent Prior Art Retrieval Based on Claim Structure

莊博宇(Po-Yu Chuang)

指導教授 ： 林福仁

國立清華大學/科技管理學院/服務科學研究所/碩士(2013年)

摘要

專利對於企業或個人來說，都是一項相當重要的智慧資產，它不但可以作為保護發明與想法的手段，甚至可以帶來相關的經濟收益，因此，該如何去偵測專利侵權以避免造成相關法律訴訟，也變成企業的一項重要工作。專利前案搜尋其主要之目的是找尋與目標專利申請相關之前案，進而能夠避免去侵犯他人專利宣告降低專利侵權的可能性，而專利前案搜尋系統即是透過系統的處理，能夠得到快速且準確的得到與該目標專利最為相關之前案，這部分已有許多文獻已證實其可能性，而基於利用專利宣告結構來進行前案搜尋之相關研究的成果，此論文透過利用雲端運算及關鍵字語意擴充搜尋的方式，成功達成了對於時間效率及準確度的改進。
除此之外，研究的主要貢獻不僅是對於專利前案搜尋系統的效率及準確度的改善，更重要的是在實際應用方面，提升讓專利分析師能夠利用此系統對於新專利的搜尋，能夠快速過濾掉不相關的大筆專利資料，以提升其在實務界應用的可能性。

關鍵字

專利 ； 前案搜尋 ； 雲端運算 ； 宣告樹結構

並列摘要

Patent is one of the most valuable intelligent properties. It not only protects inventions and ideas but also is an economic source of enterprises. Since that, it is important for enterprises to detect patent infringement to avoid any legal and economic risks. Patent prior art search task is mainly to identify prior patents that are relevant to a patent application. Thus, a system for retrieving patent prior art is expected to obtain the set of patents which are the most relevant to a target patent. Beyond the existing achievements including patent claim structure in prior retrieval, this research enhances the time efficiency and accuracy of the patient prior retrieval task by using cloud computing and semantic term expansion.
The major contribute of this research is to enhance the prior art retrieval system in terms of time efficiency and accuracy, by which enterprises or patent analyzers are operationally viable to identify the most relevant prior patents in filing or approving a new patent

並列關鍵字

patent ； prior art retrieval ； cloud computing ； claim tree structure

參考文獻

Bashir, Shariq, & Rauber, Andreas. (2010). Improving retrievability of patents in prior-art search Advances in Information Retrieval (pp. 457-470): Springer.

Bergmann, Isumo, Butzke, Daniel, Walter, Lothar, Fuerste, Jens P, Moehrle, Martin G, & Erdmann, Volker A. (2008). Evaluating the risk of patent infringement by means of semantic patent analysis: the case of DNA chips. R&d Management, 38(5), 550-562.

Daim, Tugrul U, Rueda, Guillermo, Martin, Hilary, & Gerdsri, Pisek. (2006). Forecasting emerging technologies: Use of bibliometrics and patent analysis. Technological Forecasting and Social Change, 73(8), 981-1012.

Fabry, Bernd, Ernst, Holger, Langholz, Jens, & Köster, Martin. (2006). Patent portfolio analysis as a useful tool for identifying R&D and business opportunities—an empirical application in the nutrition and health industry. World Patent Information, 28(3), 215-225.

Kang, I. S., Na, S. H., Kim, J., & Lee, J. H. (2007). Cluster-based patent retrieval. Information Processing & Management, 43(5), 1173-1182.