An Image-Text Retrieving Intelligent Agent For World Wide Web 陳孟君、陳鴻文
E-mail: [email protected]
ABSTRACT
Due to the rapid growth of applications in the Internet and WWW, graphic and image files are widely used in multimedia webpages.
Thus, the way of effectively managing and retrieving image files has become an important issue today. Although there are a few multimedia search engines available, e.g., Yahoo''''s image search engine, Webseek, ImageRover, they cannot completely match users'''' demands. That is, a manual update of webpages usually makes so small amount of images accessible in the search database.
Thus, a quick way of retrieving relevant image files is pursued and reported in the thesis. Utilizing our constructed topic knowledge database, the search keyword typed by user will be automatically transformed to another group of keywords. Then, topic related webpages will be reported through full-text search engines and collected by our webpages retrieval module efficiently. The features of HTML, including title, keywords within the document and image filenames, are first analyzed by a quick character string match.
Following that, a fuzzy inference module, which uses those HTML features as inputs, can measure the degree of topic relevance for all image files contained in the collected webpages. Experiments show that the novel image searching technique can illustrate a promising performance in searching time and correctness in retrieving automobile webpages and image files on Internet. Keywords:
Information Retrieval Internet Intelligent Agent
Keywords : Information Retrieval ; Internet ; Intelligent Agent
Table of Contents
第一章 緒論...1 第一節 研究背景...1 第二節 研 究動機...3 第三節 研究目的...6 第四節 研究範 圍...6 第五節 研究流程...7 第二章 文獻與基本理論探 討...9 第一節 網路資訊檢索...9 第二節 智慧型代理
器...18 第三節 模糊邏輯理論...23 第三章 研究方 法...28 第一節 網頁的觀察與探討...28 第二節 研究方 法...33 第三節 系統功能架構...37 第四章 系統實作與評 估...43 第一節 系統發展的環境與工具...43 第二節 系統人機介
面...44 第三節 ImageFinder圖形檢索實驗...46 第四節 實驗結果分析與問題討 論...63 第五章 結論及研究方向...69 第一節 研究結
論... 69 第二節 未來研究方向... 73 REFERENCES
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