The fast evolution of technology has made an intensive competition environment, the company which can update information rapidly and precisely will take the competitive advantage. However, the information explosion made us have to read all the information. It is time consuming to keep information from various sources updated, and could potentially delay the reaction to the changing technology and business environments.
This thesis proposes a technology monitoring service to monitor the evolution of business ecosystem through extracting relations from various sources of information automatically. In order to construct business ecosystem that consist of companies, products and technologies. This study enhances the relation extraction methodology to extract mutual interaction from multi name entity types.
The service of the proposed system helps companies forecast the technology trends and market status through business ecosystem and other information extracted through text mining. To reduce the monitoring cost of companies, the system can extract information that companies interested in automatically and effectively catch the information related to the evolution of business ecosystem in real time.

因為科技快速的演進，我們已經面臨一個超競爭的環境，如果公司能快速且準確的掌握市場訊息，就可以取得競爭優勢，然而，在現今資訊爆炸的時代，我們不可能去閱讀所有的訊息，即使只是保持從幾個資訊來源得到最新的資訊也是非常耗費時間的，並且有可能會延遲與不斷變化的科技和商業環境的互動。
本論文提出一個科技觀測服務來監測商業生態系統的演化，藉由自動的從不同的資訊來源中擷取關係來建立商業生態系統；為了建立由公司、產品及科技所組成的商業生態系統，本研究加強關係擷取方法從多個不同的實體名稱(Name entity)類別來抓取之間互動的關係。
透過本系統所提供的服務，期望藉由商業生態系統及由文字探勘所萃取出的其他資訊，可以幫助公司預測未來的科技趨勢以及市場狀況，而為了減少公司監測的成本，本系統可以自動抓取公司有興趣的資訊和即時且有效率的抓取跟商業生態系統演化相關的訊息。

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