網路技術的成熟發展以及大量的資料被數位化後，網路上的資訊量以每年近60%的幅度迅速增長，全球資訊網（World Wide Web）儼然已成為龐大的資料庫。網路上的資源豐富，且多以網頁的形式呈現，重要的資訊都隱含在網頁中，然而網頁大多以HTML文件格式展現，非常不利於資料收集、分析與比較運用，因此，如何自動地擷取網頁中的重要資訊，使網路資源能有效整合，一直是近年來極受重視的研究課題。

為了獲取網路中的資訊，本論文提出一自動化擷取網頁中重要主體資訊的方法，能精確地萃取出網頁中的資料紀錄，例如拍賣網站的商品清單、搜尋引擎的結果回應項目、新聞網站的新聞列表等。本研究所提出的方法主要分為兩大步驟：步驟一，提出資料路徑比對（DPM）法，以相對簡單少量的路徑代號相似度計算來找出HTML文件中結構重複的部份，有效地取得資料紀錄。再配合網頁視覺資訊，過濾資訊含量低的資料紀錄，以提高資料擷取的整體精確度。步驟二，使用多筆路徑代號字串對齊法，執行資料間的屬性對齊，將萃取出的資料紀錄存入資料庫中。

本論文所提出的方法能針對任意單一網頁，有效過濾雜訊且自動擷取資訊含量高的資料，並將其以結構化的資料庫型式儲存。本研究以50個不同來源網站頁面進行實驗，實驗結果顯示網頁的資訊擷取精確度高達93%，這對於整合運用網路上不同來源之資訊將有極大的貢獻。

Due to the explosive growth and popularity of the World Wide Web, the Internet presents a huge amount of useful information and seems to have become an enormous database. However, the majority of Web documents are HTML files which are lack of structure and hard to support data-related applications. That is the reason why automatic data extraction is essentially for multiple Web resources integration.

In order to retrieve internet data automatically, this research proposed a novel approach to extract major information from Web pages, e.g., shopping website’s product lists, search engine results, and news website’s hotline, etc. Our method consists of two main steps: Step 1, a novel and effective technique called DPM (Data Path Matching) is proposed to extract data records in a page. Moreover, the system filters out unimportant sets of data records based on visual information. Step 2, a novel method called Data Path Code Alignment is presented to identify data items from those extracted records.

In this work, the proposed two-step-technique can differentiate noisy and unimportant data from Web pages, extract primary information automatically and store them in a database. Experimental results based on pages from 50 diverse Web sites demonstrate the effectiveness of this method. The precision in data record extraction and data item alignment are both above 93%. It is a great contribution to the field of Web information integration.

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