多來源搜尋結果視覺化之研究

A Study on Visualization of Search Results from Multiple Search Engines

汪聖舜(Sheng-Shun Wang)

指導教授 ： 楊正仁

元智大學/資訊學院/資訊工程學系/碩士(2003年)

摘要

由於整個網際網路的資料量十分龐大，若使用者要在網路上尋找資料，必須花費大量時間。雖然現今有許多搜尋引擎可供使用者利用來幫助他們在網路上搜尋資料，但目前一般的搜尋引擎是以條列式的文字介面來呈現搜尋結果，而如此的呈現方式並沒有將搜尋結果之間的關係表現出來，使得使用者必須逐筆地閱讀每筆搜尋結果。
我們於本論文中提出了一個視覺化介面，此介面將後端多個搜尋引擎的搜尋結果同時呈現在電腦螢光幕前，以協助使用者搜尋並發覺重要資訊。此介面主要有二個優點: (1) 使用者可以同時看到多個搜尋引擎的搜尋結果，在雛型系統中，目前可以看見6個搜尋引擎的各個結果。(2) 在搜尋結果中，如果有互相參考關係，或是屬於同一網站，這些關連都可以呈現出來。
目前我們已實作一個雛型系統來測試其視覺化功能。在資訊顯示上，已經可以看出有相當好的表現。未來此介面將可應用在網際網路科技上，以協助使用者迅速搜尋資訊。

關鍵字

資訊視覺化

並列摘要

Abstract:
With the immense growth of information on the World Wide Web, it is a time-consuming task to find the demanded information on the Web. Although many search engines exist to help users search for the information, most of them show the search results as text lists in scrolled pages. In this way, users may need to check every list entry to assure if it contains the demanded information. The list-based interface conceals the relations among search results and results in encumbrances to searching.
In this thesis, we propose a visual interface. This interface displays the search results collected from multiple back-end search engines to a computer screen at the same time, and helps users search the Web and discover important information. There are two main advantages.
1. Users can view the search results of multiple search engines at the same time. In the prototype system, search results presently consist of six search engines.
2. If the Web pages retrieved in the search results have hyperlinks with each other or they belong to the same site, the hyperlink relevance will be shown.
At present, we have developed a prototype system to test our visualization functionality. In the exhibition of information, the visual interface has provided a fine visual expression. In the near future, this interface will be applied to Internet technologies and help users search for information efficiently.

並列關鍵字

Information Visualization

參考文獻

[1] Online Computer Library Center (OCLC). “Size and Growth.”

[2] Abbe Mowshowitz and Akira Kawaguchi. “Bias on the Web.” Communications of

[4] The Dogplie Metasearch Engine. Http://www.dogpile.com/info.dogpl/

[5] The Ixquick Metasearch Engine. Http://ixquick.com/

[6] The Mamma Metasearch Engine. Http://www.mamma.com/