Metadata

數位物件辨識系統(Digital Object Identidfier System, DOI System)為一可在數位環境下獨特辨識、描述與連結智慧產物的系統。本研究參考DOI系統架構，依據國內之環境實際建置一套〈LIPS-DOI〉系統，包含列舉、描述與解析模組。以延伸標記語言(Extensible Markup Language, XML)為基礎發展詮釋資料架構，以簡單都柏林核心集(Simple Dublin Core)作為核心應用描述檔案格式，並提供代理解析服務。

The Digital Object Identifier (DOI) system is a system for identifying and ex-changing intellectual property in the digital environment. With reference to the DOI's framework, an experimental system named based on Taiwan's environment is reported in this article. This system mostly resembles the DOI system in its three modules: numbering, metadata and resolution. The system framework is based on XML technology, the Dublin Core is used as the Application Profile, and a resolution proxy service is provided as well.

隨著網際網路的日益普及，線上資源也越來越豐富，要精準的為讀者找出有用的資訊，前提是必須能夠精準的分析網頁內容。日期是網頁Metadata中的重要欄位，由於臺灣在日期格式的書寫習慣，使得中文網頁的日期形式較為複雜，因而增加了自動著錄網頁創造（或修改）日期時的困難。本研究的主要目的是針對網頁日期部分做深入的分析研究，以便能夠更精確的利用中文網頁中的日期欄位進行檢索利用。 本研究以隨機抽樣方式來抓取繁體中文網頁，分析及統計樣本網頁中出現的日期格式，並使用正規表示式來自動抓取正確的網頁日期，最後計算出正確率。透過此研究可以了解在進行中文網頁日期欄位自動辨識時可能會遭遇到的困難，並評估自動擷取繁體中文網頁日期欄位的可行性。實驗結果顯示，有日期資料網頁的正確率約為61%，沒有日期資料網頁的部分約為62%。有日期資料網頁的平均誤差年約為0.62年，且83.4%的網頁能精準預測其年份（即誤差年為0），因此雖然本研究的成果尚未能完全取代人工，但若應用得宜仍然可以提高網

Online resources have become more plentiful nowadays, thanks to the popularization of Internet services. In order to achieve accurate search results for the users, it is necessary to analyze web pages precisely. ‘Date’ is one of the most important fields of metadata in web pages. Due to the special date displaying formats using in Taiwan, it has made the automatic cataloging on date for webpage more difficult. The major purpose of this research is to thoroughly analyze different types of date displaying formats applied to Chinese web pages. These findings will be used to increase the precision on the date auto extraction of web pages. The procedures of experiment are as follows. Firstly, samples were randomly selected from Internet. Secondly, the statistic analysis on the date displaying format of each web pages was conducted. Lastly, Regular Expression was used to abstract the dates of each web page, while the accuracy ratio was also calculated. The difficulties and feasibility of auto date extraction are discussed in the end of this work. The results of the experiment suggest the accuracy ratio of web pages with date information is 61%. On the other hand, the accuracy ratio of web pages without date information is 62%. The average error of those web pages with date information is 0.62 year. The results of this research suggest that the auto date extraction mechanism can be used to improve the efficiency on webpage information retrieval.