Automatic detection of variable data in Web document: Graphical representation on demand

摘要

Visualization techniques are ways of creating and manipulating graphical representations of data. This could assist human information processing by reducing demands on attention, working memory, and long-term memory. The graphical representation of data is also used in the Web as a mean which conveys an overall message easy to be used by a human mind. At the present time, graphical representations summarizing data on the Web are given by simple static images that are not always up-to-date compared to the data it should represent. We think that the best way to be faithful to reality is to build a graphical representation deduced from the real state of the information and generated dynamically on demand. In this paper we present an approach allowing to analyze Web documents in order to identify variable data, to annotate these documents and proposes techniques allowing to plot these variable data on demand.