摘要
　　本研究將搜集LED整體結構製造技術、基板研磨技術、基板檢測技術、基板清洗技術之繁體、簡體之中文專利及美國的英文專利資訊。對研究將建立中英文相關專利的IPC分析及整合式中英文專利之斷詞和斷字方法，將其應用於前述搜尋的相關中英文專利。本研究分析重點為LED整體結構製造技術、基板研磨技術、基板檢測技術、基板清洗技術，以驗證本研究所建立之方法，而所建立之方法亦可擴充應用到其他LED之相關中英文專利分析。本研究參考LED相關之工程知識書籍輔以LED相關專利，繪製出LED物料料表進而再歸類出技術、功能層面之樹枝狀結構圖。此外又本研究將建立一具創新性的可應用於整合中文及英文專利之整合性中英文專利之語意分析及斷詞系統方法。此新的系統方法為應用本研究之語意分析方法萃取中文及英文專利之零組件關鍵字及技術與功能詞句，並應用所建立的繁體字、簡體字及英文之對照表，以關鍵字之出現次數，並配合次數常態化概念建立字群。投入各約20篇台灣及美國之專利由下而上來鍛鍊各層技術功能層之字群，並給定模糊值，存入資料表中。其將以電腦程式進行包括國際專利分類碼(IPC)之IPC分析，繪製出以IPC碼為技術功能層之樹枝狀結構圖，以IPC碼搜尋到之專利內文，進一步改善並擴充字群。接著以LED為重點載具，進行發明人、及國別各類統計圖表分析﹔再針對前述相關專利進行較細一層之分析。並將建立以公司為欄，IPC碼為列，專利篇數為元素的競爭者核心競爭力圖﹔以及公司為欄，年份為列，專利篇數為元素的的主要競爭者研發活動趨勢圖。依上所述，可不斷投入專利擴充字群，增加分析之精確度，半自動半手工進行前述相關專利之技術及功能分析，可較為快速的進而建構相關專利之技術/功能矩陣。應用所建立之技術/功能矩陣，可進而建立以技術為主之競爭者核心競爭力圖。上述所搜尋的相關LED整體結構製造技術、基板研磨技術、基板檢測技術、基板清洗技術專利及分析結果可提供給企業及工程師作為參考，以協助研究，節省研發時間，作為新專利產生之參考，並迴避侵權問題，此外可使企業了解競爭者之核心競爭力。

Absract
The study collects certain patent information, including LED integrated structure manufacturing technique, substrate polishing technique, substrate inspection and testing techniques, and substrate cleaning technique, which are written in traditional Chinese and simplified Chinese, as well as the American patent information written in English. The International Patent Classification (IPC) with related Chinese and English patents established, as well as the term and word segmentation method of integrated Chinese and English patents are both applied to the searched Chinese and English patents mentioned above. The main analytic areas of the study are LED integrated structure manufacturing technique, substrate polishing technique, substrate inspection and testing techniques, and substrate cleaning technique, intending to verify the method established by the study. The established method can also be extensively applied to analysis of other LED-related Chinese and English patents. Having referred to the LED-related engineering knowledge books, together with LED-related patents, the study draws an LED material list, based on which a branch-shaped structural diagram with technical and functional hierarchies is further drawn. Besides, the study establishes an innovative semantic analysis and term segmentation system and method of integrated Chinese and English patents for application to integrated Chinese and English patents. Regarding the new system and method, it applies semantic analysis method of the study to extract the keywords and technical and functional terms of the parts appeared in the Chinese and English patents, and applies the established cross-reference table of traditional Chinese words, simplified Chinese words and English words. The number of times of the appearance of keywords is matched with normalization concept of the number of times so as to establish word clusters. Each of them is provided with around 20 Taiwanese and American patents to train from the bottom to the top the word clusters of different technical and functional hierarchies. Fuzzy values are given and saved in the data list. Then IPC analysis is carried out by computer programs, and a branch-shaped structural diagram of technical and functional hierarchies expressed in IPC codes is drawn. The texts of patents can be searched based on IPC codes, and furthermore, the word clusters can be improved and expanded. After that, LED is taken as the main carrier to analyze different kinds of statistical diagrams of inventors and countries. Focusing on the related patents mentioned above, more detailed analysis is made. A diagram of competitors’ core competitiveness is then established, with companies on column side, IPC codes on row side and the number of patents as the elements. Besides, a main competitors’ R&D activity trend diagram is also established, with companies on column side, years on row side and the number of patents as the elements. Based on the above, patents can be continuously added to expand the word clusters, and increase the accuracy of analysis. Semi-automatically and semi-manually conducting technical and functional analysis of the related patents mentioned above can more rapidly construct a technical/functional matrix of related patents. The established technical/functional matrix can be applied to further establish a technique-based competitors’ core competitiveness diagram. The above searched related patents of LED integrated structure manufacturing technique, substrate polishing technique, substrate inspection and testing techniques and substrate cleaning technique, as well as the analytic results can be provided to enterprises and engineers as a reference in producing new patents, to assist in their researches, save the R&D time and avoid infringement. In addition, enterprises can understand the core competitiveness of competitors.

參考文獻
【1】A. Singhal and G. Salton.“Automatic Text Browsing Using Vector Space Model.”Technical Report, Department of Computer Science, Cornell University, 1993
【2】王大元，美國專利兩種途徑檢索比較，情報雜誌，第三期，民國九十年。
【3】Nic, J. Y. and M. Briscobois, “On Chinese Text Retrieval,”Proceeding of SIGIR, pp.225-233 (1996).
【4】黃大一，中文詞碼，長松文化事業有限公司，民 79年。
【5】王良志、貝子勝、黎偉權、黃麗卿，「以剖析為導向的中文斷 詞法」，電子發展月刊，163期，頁 40-45，民 80年。
【6】范長康、蔡文祥，「以鬆弛法作中文斷詞」，全國計算機會議論，第423-431頁，淡江大學 民 76年。
【7】陳克建、陳正佳、林隆基，「中文語句分析的研究-斷詞與構 詞」，中央研究院資訊所技術報告，TR86-004，民 75年。
【8】Chen, K. J. And S. H. Liu, “Word Identification for Mandarin Chinese Sentences,”Proceeding of COLING-92, 14th Int. Conf. On Computational Linguistics, pp.101-107 (1992).
【9】Fan, C. K. and W. H. Tsai, “Automatic Word Identification in Chinese Sentences by the Relaxation Technique,”Computer Processing of Chinese and Oriental Languages, Vol.2, No.4, pp.33-56 (1988).
【10】Gan, K. W., M. Palmer and K. T. Lua, “A Statistically Emergent approach for language Processing : Application to Modeling Context Effects in Ambiguous Chinese Word Boundary erception,”Computational Linguistics, pp.531-553 (1996).
【11】Leung, C. H. and W. K. Kan, “A Statistical Learning Approach to Improving the Accuracy of Chinese Word Segmentation,”Literary and Linguistic Computing, pp.87-92, (1996).
【12】Nie, J. Y., M. L. Hannan and W. Jin,“Combining Dictionary,Rules and Statistical Information in Segmentation of Chinese,”Computer Processing of Chinese and Oriental Languages,Vol.9, pp.125-143,(1995).
【13】Sporat, R. and C. Shih, “A Statistical Method for Finding Word Boundaries in ChineseText,”Computer Processing of Chinese and Oriental Languages, Vol.4, No.4, pp.336-351 (1990).
【14】Sporat, R. and N. Chang,“A Stochastic Finite-State Word- Segmentation Algorithm for Chines,”Computational Linguistics, Vol.22, pp.377-404 (1996).
【15】Wu,Z. and G.Tseng,“ACTS: An Automatic Chinese Text Segmentation System for Full Text Retrieval, ”Journal of the American Society for Information Science, Vol.46,pp.83-96 (1995).
【16】Yeh, C. L.and H. J. Lee,“Rule-Based Word Identification for Mandarin Chinese Sentences-A Unification Approach,” Computer Processing of Chinese and Oriental Languages, Vol.5, No.2, pp.97-118 (1991).
【17】中央研究院斷詞表http://rocling.iis.sinica.edu.tw/CKIP/onlinesystem.htm#t2
【18】Gruber, T., “Ontolingua: A translation approach to portable ontology specifications,” Knowledge Acquisition, pp.199-200,(1993).
【19】Oleary, D. E,“Enterprise knowledge management,” Computer IEEE, Vol.31, pp.54-61 (1998).
【20】Singhal, A. and G. Salton, “Automatic Text Browsing Using Vector Space Model, ”Technical Report, Department of
Computer Science, Cornell University, (1993).
【21】拓墣產業研究所，2007深入剖析LED產業市場發展，拓墣科技，台北市(2007)。
【22】拓墣產業研究所，LED技術應用發展日趨多元化，拓墣科技，台北市(2009)。
【23】財訊出版社，LED產業新版圖，財訊出版社，台北市，第23-46頁(2006)。
【24】陳哲宏、陳逸南、謝銘洋、徐宏昇，專利法解讀，月旦出版公司，第14-15頁，民83年。
【25】林聖富，「專利資訊和專利檢索」，智慧財產權管理季刊，民75年。
【26】陳瑞田，創新性之專利迴避設計，機械工業雜誌，民87年，2月號。
【27】賴奎魁、張瑩珠、鄭伶如，建立專利策略群組模式之研究，第853-867頁，1999全國智慧財產權研討會，國立交通大學企業法律中心，民88年。
【28】謝寶煖，「專利與專利資訊檢索」，大學圖書館，2卷4期，第111-127頁，民87年，10月。

【29】許耀華，「專利分類系統及其應用」，智慧財產局，民93年，11月。
【30】「國際專利分類表第七版使用指南」，經濟部智慧財產局，民90年，7月。
【31】「國際專利分類之研究」，經濟部中央標準局。
【32】Overview of the Classification System, http://www.uspto.gov/main/patents.htm
【33】International patent Classification Eight Edition Guide, http://www.wipo.int/classifications/ipc/en/other/guide/guide_ipc8.pdf
【34】The EPO guide to patent information on the internet, http://epart.epo.org/dwl/espacenet_manual.pdf
【35】Guide Book for Practical Use of Patent Map for Each Technology Field, Japan Patent Office Asia-Pacific Industrial Property Center, JIII(2000)
【36】車慧中，「IP管理關鍵考量-電子機械案例解析與全程輔導」，冠亞智財股份有限公司，2005。
【37】http://paterm.tipo.gov.tw/IPOTechTerm/searchInput.jsp