Ontology visualization methods—a survey
ACM Computing Surveys (CSUR)
Towards the ubiquitous visualization: Adaptive user-interfaces based on the Semantic Web
Interacting with Computers
Adapting user interfaces by analyzing data characteristics for determining adequate visualizations
HCD'11 Proceedings of the 2nd international conference on Human centered design
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Digital libraries and historical archives are increasingly employing visualization systems to facilitate the information retrieval and knowledge extraction tasks of their users. Typically, each organization employs a single visualization system, which may not suit best the needs of certain user groups, specific tasks, or properties of document collections to be visualized. In this paper we present a context-based adaptive visualization environment, which embeds a set of visualization methods into a visualization library, from which the most appropriate one is selected for presenting information to the user. Methods are selected by examining parameters related to the user profile, system configuration and the set of data to be visualized, and employing a set of rules to assess the suitability of each method. The presented environment additionally monitors user behavior and preferences to adapt the visualization method selection criteria.