目前在企業內部存在著許多的商業流程敘述文件來表達各種不同的執行流程，其複雜度是更甚以往的，在此之前皆是由相關人員透過這些流程文件來進行分析了解其所要傳達的流程訊息，並進行直接閱讀分析流程文件，但是其會造成個人解讀不同而產生理解上的錯誤，因此，本研究發展一套正規劃的方法步驟來產生出讓人可以容易理解的流程圖，以便能縮小每個人解讀流程之差異所產生的錯誤。
另一方面，其相關流程文件或許會伴隨著一個原始流程圖。而在某些文件當中，其所伴隨之流程圖並不能完整的描繪出文件內所要表達的訊息，也就是說原始流程圖與原始流程敘述文件兩者是有差異的，而這樣的差異對於相關人員進行解讀的過程中也會產生誤解，因此，本研究將流程相似度分析應用在此，提供一個定量的分析法來針對圖文比較。
綜合以上概念，本研究分成兩個階段，首先利用自然語言的文字處理技術來擷取文件內的流程資訊來轉換並建構成為流程圖型式。利用本研究所建構之流程圖與原始流程進行相似度分析，藉此來量化圖文差異度指標並提供各種相似度差異之狀況，讓相關人員可進行分析。

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 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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