VIIQ: Auto-Suggestion Enabled Visual Interface for Interactive Graph Query Formulation

We present VIIQ (pronounced as wick), an interactive and iterative visual query formulation interface that helps users construct query graphs specifying their exact query intent. Heterogeneous graphs are increasingly used to represent complex relationships in schemaless data, which are usually queried using query graphs. Existing graph query systems offer little help to users in easily choosing the exact labels of the edges and vertices in the query graph. VIIQ helps users easily specify their exact query intent by providing a visual interface that lets them graphically add various query graph components, backed by an edge suggestion mechanism that suggests edges relevant to the user’s query intent. In this demo we present: 1) a detailed description of the various features and user-friendly graphical interface of VIIQ, 2) a brief description of the edge suggestion algorithm, and 3) a demonstration scenario that we intend to show the audience.