# name
Semantic content and information visualization: A proposal for a datadriven communication narrative

# metadata.dc.description[].value
Podeu consultar la versió en castellà a:  https://hdl.handle.net/2445/224152

# metadata.dc.description.abstract[].value
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.

# metadata.dc.publisher[].value
Ediciones Profesionales de la Información

# metadata.dc.relation.ispartof[].value
Capítol del llibre: Guallar, Javier, Vállez, Mari, 1968-., Ventura, Anna. (coords.),  Digital communication. Trends and good practices, Ediciones Profesionales de la Información, 2025, [ISBN: 9788412575767], pp. 85-103

# metadata.dc.rights[].value
cc-by-nc-sa (c) Cuvicom - Ediciones Profesionales de la Información, 2025

# metadata.dc.source[].value
Llibres / Capítols de llibre (Biblioteconomia, Documentació i Comunicació Audiovisual)

# metadata.dc.title[].value
Semantic content and information visualization: A proposal for a datadriven communication narrative