以文字探勘分析雲端運算產業專利網絡

Patent Network Analysis of Cloud Computing by Text Mining

隨著雲端運算產業崛起，各資訊大廠紛紛搶入市場，但是目前與此產業相關的專利分析文獻極少。本研究的主要貢獻在於提出二階段式專利檢索策略，以及系統化的方法執行雲端運算的網絡分析。本研究運用書目計量學與網絡分析驗證，二階段式專利檢索策略可成功地辨識出屬於雲端運算產業的專利。至於以系統化方法進行專利網路分析之有效性，則可透過以灰關聯為基的集群分析得到證實。本研究藉由視覺化網路與技術中心性指標，揭櫫雲端運算整體專利結構以及三類商業模式之核心專利。本研究運用文字探勘配合專利網絡的分析方法，可提供有意進軍雲端運算產業之企業的重要參考依據。

With the rise of cloud computing technology, many IT manufacturershave rushed to enter the market. However, to date, only a few attemptshave been made at the patent analysis of cloud computing. The maincontribution of this research is to propose a two-stage retrieval strategy anda systematic method for conducting patent network analysis on cloudcomputing. By conducting bibliometric and network analyses, we showthat a two-stage patent retrieval method can successfully identify patentsbelonging to cloud computing. The effectiveness of the proposed systematicmethod for patent network analysis is proved through gray rela- tional-based cluster analysis. With the aid of visual networks and technologycentrality indexes, this study seeks to reveal the overall patentstructure and identify the key technologies of cloud computing. The resultsof this study can provide a valuable reference for enterprises intendingto enter the cloud computing industry.