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.
Let's explore how the lower cognitive cost of tagging makes it popular...From my first encounter with tagging (on systems such as del.icio.us & flickr), I could feel how easy it was to tag. But it took me a while to understand the cognitive processes at w
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.
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.
Gephi is an open-source software for visualizing and analyzing large networks graphs. Gephi uses a 3D render engine to display graphs in real-time and speed up the exploration. Use Gephi to explore, analyse, spatialise, filter, cluterize, manipulate and export all types of graphs.
On October 18, 1989, the unmanned NASA spacecraft Galileo was launched on her mission to study the planet Jupiter and its moons. Named after the astronomer Galileo Galilei, it consisted of an orbiter and entry probe, which descended into Jupiter's atmosphere.
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.
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.
S. Rudolph, J. Völker, и P. Hitzler. Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007), том 4604 из Lecture Notes in Artificial Intelligence, стр. 488-491. Berlin, Heidelberg, Springer-Verlag, (июля 2007)
S. Rudolph, J. Völker, и P. Hitzler. Conceptual Structures: Knowledge Architectures for Smart Applications, Proc. ICCS 2007, том 4604 из LNAI, стр. 488-491. Sheffield, UK, Springer, (июля 2008)ISBN: 978-3-540-73680-6
ISSN: 0302-9743.
M. Strohmaier, M. Lux, M. Granitzer, P. Scheir, S. Liaskos, и E. Yu. We Know'07 International Workshop on Collaborative Knowledge Management for Web Information Systems, in conjunction with WISE'07, Nancy, France, (2007)
P. Heim, J. Ziegler, и S. Lohmann. Proceedings of the International Workshop on Interacting with Multimedia Content in the Social Semantic Web (IMC-SSW 2008), том 417 из CEUR-WS, стр. 49-58. (2008)
G. Stumme. Data Analysis and Information Systems. Statistical and Conceptual approaches. Proc. GfKl'95. Studies in Classification, Data Analysis, and Knowledge Organization 7, стр. 457-469. Heidelberg, Springer, (1996)