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Proceedings Paper

Visual graph query formulation and exploration: a new perspective on information retrieval at the edge
Author(s): Sue E. Kase; Michelle Vanni; Joanne A. Knight; Yu Su; Xifeng Yan
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Paper Abstract

Within operational environments decisions must be made quickly based on the information available. Identifying an appropriate knowledge base and accurately formulating a search query are critical tasks for decision-making effectiveness in dynamic situations. The spreading of graph data management tools to access large graph databases is a rapidly emerging research area of potential benefit to the intelligence community. A graph representation provides a natural way of modeling data in a wide variety of domains. Graph structures use nodes, edges, and properties to represent and store data. This research investigates the advantages of information search by graph query initiated by the analyst and interactively refined within the contextual dimensions of the answer space toward a solution. The paper introduces SLQ, a user-friendly graph querying system enabling the visual formulation of schemaless and structureless graph queries. SLQ is demonstrated with an intelligence analyst information search scenario focused on identifying individuals responsible for manufacturing a mosquito-hosted deadly virus. The scenario highlights the interactive construction of graph queries without prior training in complex query languages or graph databases, intuitive navigation through the problem space, and visualization of results in graphical format.

Paper Details

Date Published: 12 May 2016
PDF: 13 pages
Proc. SPIE 9851, Next-Generation Analyst IV, 985104 (12 May 2016); doi: 10.1117/12.2228380
Show Author Affiliations
Sue E. Kase, U.S. Army Research Lab. (United States)
Michelle Vanni, U.S. Army Research Lab. (United States)
Joanne A. Knight, Communications-Electronics Research, Development and Engineering Ctr. (United States)
Yu Su, Univ. of California, Santa Barbara (United States)
Xifeng Yan, Univ. of California, Santa Barbara (United States)


Published in SPIE Proceedings Vol. 9851:
Next-Generation Analyst IV
Barbara D. Broome; Timothy P. Hanratty; David L. Hall; James Llinas, Editor(s)

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