Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
The visual display of quantitative information
The visual display of quantitative information
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
PIVOT and UNPIVOT: optimization and execution strategies in an RDBMS
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
ResultMaps: Visualization for Search Interfaces
IEEE Transactions on Visualization and Computer Graphics
Domain Specific Languages
Declarative Language Design for Interactive Visualization
IEEE Transactions on Visualization and Computer Graphics
Visualization of multi-domain ranked data
Search computing
IEEE Transactions on Visualization and Computer Graphics
Data-Driven and user-driven multidimensional data visualization
ICWE'11 Proceedings of the 11th international conference on Current Trends in Web Engineering
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Visualization is a key concept when presenting search results. Sometimes a bad visualization leads to a wrong decision. In many cases the building of a visual representation for a given set of data is fixed a priori by the developer with no chance for the user to adjust or change it. The fact is that not all the users have the same interests on the same data. In this work we present a Domain-Specific Language to develop visual patterns that allows the user choosing the desired visualization for a given data search result. An example is used to drive the explanations.