Search systems are becoming increasingly sophisticated in their capacity of building results that are not mere lists of documents but articulated sets of concepts retrieved from different domains. As the search result sets exhibit more structure, techniques are required to visualize the retrieved objects in a way that facilitates the immediate understanding of their properties and relationships. This paper investigates the use of models to represent both result sets and visualization spaces, and of model-to-model transformations to dynamically suggest an optimized result visualization for multi-domain search.@en

Search systems are becoming increasingly sophisticated in their capacity of building result sets that are not mere lists of documents but articulated combinations of concepts retrieved from different domains. This paper investigates the models for the result sets and the visualization spaces, and model-to-model transformations to dynamically suggest optimized visualizations for multi-domain search results.@en