VOGUE: Towards A Visual Interaction-aware Graph Query Processing Framework

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Provided by: Creative Commons
Topic: Big Data
Format: PDF
Due to the complexity of graph query languages, the need for visual query interfaces that can reduce the burden of query formulation is fundamental to the spreading of graph data management tools to wider community. The authors present a novel HCI (Human-Computer Interaction)-aware graph query processing paradigm, where instead of processing a query graph after its construction, it interleaves visual query construction and processing to improve system response time. They present the architecture of a system called vogue that exploits GUI latency to prune false results and pre-fetch candidate data graphs by employing a novel action-aware indexing and query processing schemes.
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