In the mobile Internet, users generally work with handheld devices with limited computing power and small screens. Their access conditions also change frequently. In this paper, we present a novel method supporting intelligent content adaptation to better suit handheld devices. The underpinning is a unit of information (UOI)-based content adaptation method, which automatically detects semantic relationships among the components of Web contents and then reorganizes page layout to fit handheld devices based on identified UOIs. Experimental results demonstrate that our method enables more sensitive content adaptation.

a b s t r a c tContent 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.

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