由於商業流程的日益龐大，企業都會將公司內部的流程給予文件化並附上流程圖，以便相關人員可以透過輔助的資訊更快速的了解公司相關的作業流程。但是當相關人員在取得任一流程描述與附帶的流程圖時，往往會發現兩者相對應的內容有所差異，讓相關人員不知道是因為流程文章描述的不清楚完整，抑或是流程圖未忠實呈現流程描述的內容，而造成兩者之間的落差，這樣的情況反而讓相關人員產生更大的困擾。
因此，本研究將建立一套規則，以擷取流程文件中任一篇幅流程描述內容中所需要的資訊，並以事件驅導流程鏈(Event-driven Process Chains ,EPC)來做為企業流程圖表達的工具。其間將利用中文斷詞系統將流程描述作簡化，再透過制訂擷取出所需要資訊的規則，與事件流程先後順序的邏輯演算法，找出流程資訊並建立完整的流程模型，最後透過準確率與召回率等績效評估方式，計算斷詞後擷取的資訊是否確實為流程所需的資訊。之後，再將依流程文章所建構的流程圖與原始流程圖做流程作相似度差異的比較，讓使用者了解流程文章與原始流程圖間的差異性有多大。

Due to the rapid development of enterprise globally, the documents used to describe business process have become very tedious and might be difficult to catch the required information. In addition, the process diagrams embedded in the documents usually were not properly mapped with the text description. This might due to either a very detailed text description versus a simplified process diagram or vise versa. However, both of the situations might mislead the readers due to incompatible information between text and process diagram.
This research tends to propose a method to extract the process related information from Chinese text documents and to construct the related process diagram. An approach using word and sentence segmentation would be developed. The segmented words and sentences would be extracted and added tags. An algorithm will be developed to compute the precedence and logical relationships among the tagged words and sentences and to construct the related process models. The constructed models would be compared with the process diagrams embedded in the original document in terms of the index such as precision and recall. The computed values can be used as a reference to analyze the variance among the constructed and original process models.
This research will be addressed on both of the English and Chinese documents in two years of period.

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