Relationship Analysis for Web elements ( RAW )

Identifying entities and relationship between them has been a significant aspect no matter in traditional systems analysis, object-oriented systems analysis or database analysis. For web application, a technique of relationship analysis to enhance systems analysis for web development has been proposed. However, seldom researches focus on discovering relationship between web elements on a web page. This paper aims to fill this research gap through our proposed Relationship Analysis for Web elements (RAW). In this research, we would propose various types of relationship for semantic elements on web page, the algorithm to discover such relationship and the suggested adaptation for the corresponding relationship type. By identifying web elements and relationship between them, we could gain a deep understanding of implicit and explicit structure of the web page. Thus, the web page can be reorganized based on the relationship and dependency between the web elements without disrupting the semantics of the page. This is especially useful in content adaptation which is a process of transforming content into one that fits for particular device.