This course is about scalable approaches to processing large amounts of information (terabytes and even petabytes). We focus mostly on MapReduce, which is presently the most accessible and practical means of computing at this scale, but will discuss other approaches as well.
This diagram depicts a spectrum of information sharing capabilities. Moving from lower right to upper left of the diagram, we see that more expressive forms of metadata and semantic modeling encompass the simpler forms, and extend their capabilities. From
Open source graph visualization software. Takes descriptions of graphs in a simple text language, makes diagrams formatted as images, SVG for web, PS for PDF, GXL (XML dialect), and more.
This diagram depicts a spectrum of information sharing capabilities. Moving from lower right to upper left of the diagram, we see that more expressive forms of metadata and semantic modeling encompass the simpler forms, and extend their capabilities. From
The Open Knowledge Definition (OKD) sets out principles to define the 'open' in open knowledge. The term knowledge is used broadly and it includes all forms of data, content such as music, films or books as well any other type of information.
In the simplest form the definition can be summed up in the statement that "A piece of knowledge is open if you are free to use, reuse, and redistribute it".
Data presentation can be beautiful, elegant and descriptive. There is a variety of conventional ways to visualize data - tables, histograms, pie charts and bar graphs are being used every day, in every project and on every possible occasion. However, to convey a message to your readers effectively, sometimes you need more than just a simple pie chart of your results. In fact, there are much better, profound, creative and absolutely fascinating ways to visualize data. Many of them might become ubiquitous in the next few years.
S. Canazza, и A. Dattolo. Proceedings of the IASTED European Conference on Internet and Multimedia Systems and Applications - EuroIMSA 2007, Chamonix, France, (мая 2007)http://users.dimi.uniud.it/~antonina.dattolo/papers/euroimsa2007.pdf.
A. Dridi, S. Sassi, и S. Faiz. 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA), стр. 1421-1428. (октября 2017)
S. Farhat, L. Tubati, M. Osiemo, и R. Dave. JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20 - 24, 2022, стр. 34. ACM, (2024)
R. Farrell, S. Liburd, и J. Thomas. Proceedings of the 13th international World Wide Web conference on
Alternate track papers & posters, стр. 162--169. New York, NY, USA, ACM, (2004)
S. Golder, H. McIntosh, и Y. Loke. BMC medical research methodology, (мая 2006)PUBM: Electronic; DEP: 20060508; JID: 100968545; 2005/10/18 received; 2006/05/08 accepted; 2006/05/08 aheadofprint; epublish.
M. Granitzer, W. Kienreich, V. Sabol, и G. Dosinger. Proc. Twelfth IEEE International Workshops on Enabling Technologies:
Infrastructure for Collaborative Enterprises WET ICE 2003, стр. 296--301. (2003)