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Have Green - A Visual Analytics Framework for Large Semantic Graphs

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5 Author(s)
Pak Chung Wong ; Pacific Northwest Nat. Lab., Richland, WA ; Chin, G. ; Foote, H. ; Mackey, P.
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A semantic graph is a network of heterogeneous nodes and links annotated with a domain ontology. In intelligence analysis, investigators use semantic graphs to organize concepts and relationships as graph nodes and links in hopes of discovering key trends, patterns, and insights. However, as new information continues to arrive from a multitude of sources, the size and complexity of the semantic graphs will soon overwhelm an investigator's cognitive capacity to carry out significant analyses. We introduce a powerful visual analytics framework designed to enhance investigators' natural analytical capabilities to comprehend and analyze large semantic graphs. The paper describes the overall framework design, presents major development accomplishments to date, and discusses future directions of a new visual analytics system known as Have Green

Published in:
Visual Analytics Science And Technology, 2006 IEEE Symposium On

Date of Conference: Oct. 31 2006-Nov. 2 2006

Page(s):
67 - 74
E-ISBN :
1-4244-0592-0
Print ISBN:
1-4244-0591-2
INSPEC Accession Number:
9211080
Conference Location :
Baltimore, MD
Digital Object Identifier :
10.1109/VAST.2006.261432
Product Type:
Conference Publications

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