BibSonomy ::  user :: acka47 ::

We are a loosely organised group of practitioners whose projects and products rely on the quality of the data that's out there. We work with data publishers, tool builders, application developers and standards groups towards an interoperable web of data.

Visualization is a technique to graphically represent sets of data. When data is large or abstract, visualization can help make the data easier to read or understand. There are visualization tools for search, music, networks, online communities, and almost anything else you can think of. Whether you want a desktop application or a web-based tool, there are many specific tools are available on the web that let you visualize all kinds of data. Here are some of the best:

Interactive visualizations based on the Eigenfactor™ Metrics and hierarchical clustering to explore emerging patterns in citation networks. A cooperation between the Eigenfactor Project (data analysis) and Moritz Stefaner (visualization).

Presented by Karen Calhoun at the ALCTS Forum, American Library Association Midwinter Meeting, Denver CO, 26 January 2009. Discusses community norms and policies for sharing the data that supports the discovery and delivery of library collections; places these in the context of the broader data sharing environment outside libraries; and analyzes the process and rationale for revising OCLC's Guidelines for the Use and Transfer of Records.

Google Tech Talks May 10, 2007 ABSTRACT David Weinberger's new book covers the breakdown of the established order of ordering. He explains how methods of categorization designed for physical objects fail when we can instead put things in multiple categoreis at once, and search them in many ways.