Collaborative Analytics: Where Groups Collaborate with Semantic Visualizations
| SMWCon Spring 2014 | |
|---|---|
| Collaborative Analytics: Where Groups Collaborate with Semantic Visualizations | |
| Talk details | |
| Description: | Our SMW wikis are converging on a requirement for groups to work together where the objects of interest are highly interconnected and where visualization can help decision-makers see patterns and gaps. |
| Speaker(s): | Bernadette Clemente, Jason Ji |
| Type: | Presentation |
| Audience: | Everyone |
| Length: | 20 minutes |
| Video: | not available |
| Keywords: | |
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Wikis at MITRE have turned a corner. They are no longer perceived as second-class knowledge management applications. Last Fall, we presented our body of work as a collection of enterprise semantic encyclopedias as a way to talk about using SMW without using the "wiki" word. Today, six months later, perceptions have changed as a result of close collaboration with internal IT teams. This side-by-side work clarified the niche we continue to move towards -- namely, Collaborative Analytics. We define Collaborative Analytics as the evolution of an SMW wiki to enable groups to work together where the objects of interest are highly interconnected and where a variety of visualizations can reveal patterns and gaps to support decision-making. This talk will showcase our latest visualizations including a new Javascript-based version of Viki, a network graphing extension. Viki represents pages as nodes and links as either the inbound or outbound links. The user can travel the wiki by selecting a node to connect it to its nearest neighbor nodes.
