應用語意網技術建構自動化註解系統

NHUIR > College of Science and Technology > Department of Information Management > Disserations and Theses > Item 987654321/20529

Please use this identifier to cite or link to this item: http://nhuir.nhu.edu.tw/handle/987654321/20529

Title:	應用語意網技術建構自動化註解系統
Other Titles:	Applying Semantic Web Technologies to Constructing an Automated Annotation System
Authors:	姚怡君 Yao, I-chun
Contributors:	資訊管理學系碩士班邱英華 Yin-wah Chiou
Keywords:	正規概念分析法;知識本體;語意網;自動化註解系統 Automatic Annotation System;Ontology;Semantic Web;Formal Concept Analysis
Date:	2008
Issue Date:	2015-05-10 15:50:10 (UTC+8)
Abstract:	語意網(Semantic Web)技術的發展，其主要目的是為了幫助人們可以更為方便、快速的搜尋資料。另外，網路文件透過註解系統(Annotation System)可提供使用者更清楚的資訊。然而，傳統的註解系統對於使用者只有單純透過字串比對，並沒有考慮到文件中詞句彼此的意思，亦可能提供錯誤的資訊造成過濾上的不精確。為了解決此一問題，我們提出基於正規概念分析之自動化註解系統(FCA-based Automated Annotation System, FAAS)。FAAS是將舊有的註解系統結合正規概念分析法(Formal Concept Analysis, FCA)與知識本體(Ontology)的概念為基礎做更進一步的改進，提高自動化處理的能力，達到精確的註解服務。其中知識本體(Ontology)為語意網的基礎，它作為能夠描述〝詮釋資料〞(MetaData)的角色，促使全球資訊網上的資料能夠完整且明確地被定義。FAAS系統的發展在於利用知識本體的完整的領域知識描述概念結構關係，進而做到註解自動化。　　As the Web technologies grow up quickly in recent years, huge amounts of information let people spend a lot of time to deal with data. In order to solve this problem, we use Semantic Web technologies to develop an automatic annotation system to integrate Ontology and Formal Concept Analysis (FCA). We call this system as an FCA-based Automated Annotation System (FAAS). Ontology is a foundation of the semantic web. It explicitly defines domain knowledge. FCA is a method for knowledge representation and data analysis. The major benefits of FAAS are summarized as follows: providing exact information for the user; increasing the effectiveness of information retrieval; enhancing the capability of automation processing; achieving the detailed services of annotation.
Appears in Collections:	[Department of Information Management] Disserations and Theses

Files in This Item:

File	Description	Size	Format
096NHU05396009-001.pdf		2118Kb	Adobe PDF	0	View/Open
index.html		0Kb	HTML	239	View/Open

Loading...