Enhancing the precision of content analysis in content adaptation using entropy-based fuzzy reasoning

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題名:	Enhancing the precision of content analysis in content adaptation using entropy-based fuzzy reasoning
作者:	Chen,RCS;Yang,SJH;Zhang,J
貢獻者:	資訊工程學系
關鍵詞:	AWARE WEB SERVICES;SYSTEM;DESIGN
日期:	2010
上傳時間:	2012-03-27 18:55:38 (UTC+8)
出版者:	國立中央大學
摘要:	Content adaptation is a well-known technique to help portable devices present Web pages as smoothly as desktops do. Because of limited I/O and weak transmission capability, adaptations are usually performed by either transcoding or resizing multimedia components. In this paper, we propose a novel semantic coherence-retained content adaptation approach, namely functionality sense-based content adaptation (FSCA). Our goal is to avoid semantic distortions when rearranging a Web page on different screen sizes. Simulating entropy-based fuzzy reasoning in human cognition, we introduce Relevance of Functionality (RoF) to quantitatively represent the similarity intensity between two presentation objects (groups) based on their functionalities. We present an algorithm of calculating RoF and a procedure that uses RoF to decide content adaptation degree. Our experiments verify the feasibility and effectiveness of FSCA. (c) 2010 Elsevier Ltd. All rights reserved.
關聯:	EXPERT SYSTEMS WITH APPLICATIONS
顯示於類別:	[資訊工程學系] 期刊論文

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