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Click on the group of people near the center of the map, between linked data and semantic web.  You should see a display similar to the one below.  The group is highlighted along with the concepts common to the group (linked data and semantic web).  Not that the right hand display shows the group as being defined as those people who are interested in both linked data and semantic web. 

The map is a little cluttered with the names of the people who are in groups with one member.  Click hide group labels.  You see a map similar to the one below.

Double click on ontology.  Two things happen.  The map zooms in one ontology, and the ontology term is highlighted.  One of the groups connected to ontology is highlighted.

suppose we wish to reduce the number of terms that have been generated by expanding the graph – some of these are closely related to ontology, while others may be less so.  Terms aon on the graph because someone who has ontology an an interest has one of these terms as an additional interest.  Click on SQL (Computer Program Language), then in the right hand panel, click on "Search Terms"  This lists all the terms currently in the graph.  

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Select five of the terms as shown and press "Delete Selected"  The pruned graph is shown below.  We seem more clearly the group of people interested in linked data and the semantic web.  

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We can search and expand at any time to add groups and terms related to those on the graph.  And if we want to start over, we can press Reset.

Using the Capability Map we can find groups of people interest in common research areas, and we can discover which research areas are often held in common across researchers.