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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/224154
Semantic content and information visualization: A proposal for a datadriven communication narrative
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Abstract
Charts and graphs are one of the main visual tools used to represent and convey information.
A significant part of our daily work involves searching for, obtaining, and refining a dataset that
allows us to tell a story. However, data does not speak for itself. It needs to be visualized to
reveal the underlying analysis and bring to light the patterns it contains. In this work, we aim to
characterize the main communicative contexts and content types that can be conveyed through
graphs. We will also explore the most suitable visual approaches to efficiently and effectively fulfill
these communicative purposes. In other words, in this chapter, we seek to present a structured
methodology commonly used to properly implement effective information visualization. First, we
identify the type of information to be encoded; second, we choose the type of graph that best
represents that information; and finally, we design the visual elements that compose the graph.
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Podeu consultar la versió en castellà a: https://hdl.handle.net/2445/224152
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PÉREZ-MONTORO, Mario. Semantic content and information visualization: A proposal for a datadriven communication narrative. Capítol del llibre: Guallar. Javier. Vol. Vállez, num. Mari. ISBN 9788412575767. [consulted: 8 of August of 2026]. Available at: https://hdl.handle.net/2445/224154