The VAST 2008 Challenge consisted of four heterogeneous synthetic data sets each organized into separate mini-challenges. The Grand Challenge required integrating the raw data from these four data sets as well as integrating results and findings from team members working on specific mini-challenges. Modeling the problem with a semantic network provided a means for integrating both the raw data and the subjective findings
Advances in scientific research techniques have led to an explosion of informationrich, multimedia d...
A grand challenge problem (Wah, 1993) refers to a computing problem that cannot be solved in a reaso...
The availability of large volumes of Semantic Web data has created the potential of discovering vast...
A fictitious amusement park and a larger-than-life hometown football hero provided participants in t...
International audienceWe report on the process and design of our visual analytics graph analysis cha...
<p>An of the shelf approach to analyzing complex data for the 2014 IEEE VAST challgenge (MC1).</p
The success of the Seman-tic Web leads to ever-growing amounts of data that are being generated, int...
We used Improvise visualization framework to build Wiki.viz, an interactive visualization of the 200...
Twenty-five Semantic Web and Database researchers met at the 2011 STI Semantic Summit in Riga, Latvi...
The 2016 VAST Challenge returns to the (fictional) island of Kronos to pose three Mini-Challenges. I...
The IEEE Visual Analytics Science and Technology (VAST) Symposium has held a contest each year since...
The amount of data available due to the rapid spread of advanced information technology is exploding...
The amount of data available due to the rapid spread of advanced information technology is exploding...
In this paper, we revise our lessons learned, taking into consideration experience gained by organiz...
International audienceWe discuss what makes exciting and motivating Grand Challenge problems for Dat...
Advances in scientific research techniques have led to an explosion of informationrich, multimedia d...
A grand challenge problem (Wah, 1993) refers to a computing problem that cannot be solved in a reaso...
The availability of large volumes of Semantic Web data has created the potential of discovering vast...
A fictitious amusement park and a larger-than-life hometown football hero provided participants in t...
International audienceWe report on the process and design of our visual analytics graph analysis cha...
<p>An of the shelf approach to analyzing complex data for the 2014 IEEE VAST challgenge (MC1).</p
The success of the Seman-tic Web leads to ever-growing amounts of data that are being generated, int...
We used Improvise visualization framework to build Wiki.viz, an interactive visualization of the 200...
Twenty-five Semantic Web and Database researchers met at the 2011 STI Semantic Summit in Riga, Latvi...
The 2016 VAST Challenge returns to the (fictional) island of Kronos to pose three Mini-Challenges. I...
The IEEE Visual Analytics Science and Technology (VAST) Symposium has held a contest each year since...
The amount of data available due to the rapid spread of advanced information technology is exploding...
The amount of data available due to the rapid spread of advanced information technology is exploding...
In this paper, we revise our lessons learned, taking into consideration experience gained by organiz...
International audienceWe discuss what makes exciting and motivating Grand Challenge problems for Dat...
Advances in scientific research techniques have led to an explosion of informationrich, multimedia d...
A grand challenge problem (Wah, 1993) refers to a computing problem that cannot be solved in a reaso...
The availability of large volumes of Semantic Web data has created the potential of discovering vast...