Collaborative Analytics: Where Groups Collaborate with Semantic Visualizations

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SMWCon Spring 2014Collaborative 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: 20-30 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.