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.
|Number of pages||6|
|Journal||CEUR Workshop Proceedings|
|Publication status||Published - 2011|
|Event||1st International Workshop on Searching and Integrating New Web Data Sources: Very Large Data Search - Seattle, United States|
Duration: 2 Sep 2011 → 2 Sep 2011