Abstract
Visual query interfaces enable users to construct queries without special training in the syntax and semantics of a query language. Traditionally, efforts toward such interface design and devising efficient query processing techniques are independent to each other. This is primarily due to the chasm between hci and data management fields as since their inception, rarely any systematic effort is made to leverage techniques and principles from each other for superior user experience. In this paper, we lay down the vision of bridging this chasm in the context of visual graph query formulation and processing. Specifically, we present the architecture and novel research challenges of a framework for querying graph data visually where the visual interface management is data-driven and query processing and performance benchmarking are hci -driven.
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