本研究針對半導體產業,提供一智慧型搜尋功能,讓使用者在大量資料中能快速及準確地搜尋。為達此目的,本研究中定義知識空間及其組成元素,並發展一組程式以產生該知識空間及知識空間搜尋機制,以提升使用者生產力。所使用到的技術包含:(1)建立知識本體,(2)計算兩詞彙同時出現頻率,(3)計算詞彙與文件關聯度,(4)發展知識空間搜尋環境。 / This study aims to provide an intelligent searching environment which users can search quickly and precisely from a large number of documents in semiconductor industry. In order to achieve the purpose, this paper defines a knowledge space and its composition elements to describe the knowledge of real world, and then develops a program to shorten the searching cost by providing the searching mechanism based on knowledge space. The techniques used in this study includes:(1) Construct 「Semiconductor Industry Ontology」(2) Compute the frequency of two terms appearing simultaneously (3) Compute the interrelatedness between terms and documents (4) Develop searching environment based on knowledge space.
Identifer | oai:union.ndltd.org:CHENGCHI/G0098356003 |
Creators | 李佳穎, Li, Chia Ying |
Publisher | 國立政治大學 |
Source Sets | National Chengchi University Libraries |
Language | 中文 |
Detected Language | English |
Type | text |
Rights | Copyright © nccu library on behalf of the copyright holders |
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