Here is compilation of some of the most famous jaunts of all time—both factual and fictional—that show us how far we’ve come, and where we might go next.
Map-Reduce is on its way out. But we shouldn’t measure its importance in the number of bytes it crunches, but the fundamental shift in data processing architectures it helped popularise.
Designing and refining ontologies becomes a tedious task, once the boundary to real-world-size knowledge bases has been crossed. Hence semi-automatic methods supporting those tasks will determine the future success of ontologies in practice. Our research therefore aims at the conceptual development and implementation of tools for semi-automatic ontology engineering. By combining Ontology Learning and Relational Exploration we hope to overcome the knowledge acquisition bottleneck, especially with respect to expressive axiomatizations (see our seminal paper at ICCS'2007). The RELExO framework supporting the refinement and evaluation of OWL DL ontologies is open source and publicly available under the LGPL license.
ParaView is an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView's batch processing capabilities.
ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of terascale as well as on laptops for smaller data.
NodeXL is a free, open-source template for Microsoft® Excel® 2007 and 2010 that makes it easy to explore network graphs. With NodeXL, you can enter a network edge list in a worksheet, click a button and see your graph, all in the familiar environment of the Excel window.
T. Ropinski, F. Steinicke, and K. Hinrichs. Journal Proceedings of the 14th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG06), (2006)
R. Krüger, D. Thom, M. Wörner, H. Bosch, and T. Ertl. Computer Graphics Forum (proceedings of The Eurographics Conference on Visualization), 32 (3):
451--460(2013)
P. Heim, and S. Brunk. INFORMATIK 2011: Informatik schafft Communities; 41. Jahrestagung der Gesellschaft für Informatik e.V. (GI), Bonner Köllen Verlag, (2011)
S. Brunk, and P. Heim. Proceedings of the International Workshop on Data-Centric Interactions on the Web (DCI 2011), volume 817 of CEUR-WS.org, page 31-36. (2011)
M. Rontu, A. Korhonen, and L. Malmi. Proceedings of the working conference on Advanced visual interfaces, page 508--511. New York, NY, USA, ACM, (2006)
S. Rudolph, J. Völker, and P. Hitzler. Conceptual Structures: Knowledge Architectures for Smart Applications, Proc. ICCS 2007, volume 4604 of LNAI, page 488-491. Sheffield, UK, Springer, (July 2008)ISBN: 978-3-540-73680-6
ISSN: 0302-9743.
S. Rudolph, J. Völker, and P. Hitzler. Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007), volume 4604 of Lecture Notes in Artificial Intelligence, page 488-491. Berlin, Heidelberg, Springer-Verlag, (July 2007)
A. Nicholson, and D. Forgan. (2013)cite arxiv:1307.1648Comment: Accepted for publication in the International Journal of Astrobiology, 13 pages, 7 figures.
M. Baldonado, and T. Winograd. Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, page 11--18. New York, NY, USA, ACM, (1997)