MCquery: interactive visual query of relational data with coordinating context displays

Publisher:
ACM
Publication Type:
Conference Proceeding
Citation:
ACSW '16 Proceedings of the Australasian Computer Science Week Multiconference, 2016
Issue Date:
2016-02-05
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The use of visual queries for relational data retrieval is a well-known approach. Various advanced visualization methods have been proposed to improve the quality of such queries. However, most of current methods focus on constructing queries in a single visualization context that increases user's efforts significantly in visually matching the details with their contexts. The single visualization causes the isolation of data models and query results which could be displayed on a single screen. The challenge is how to visually and synchronously represent all data models, queries and query results in a single screen that will make much convenient for users to interact with the visualization. For dealing with the challenge, this paper proposes a novel method called MCquery. This method allows query specification in the coordinating visual contexts of data models and query results by interaction on node-link graphs of relational data representations. MCquery enables relational data to be analyzed with concrete and relative results from the incremental exploration of data models, queries and query results. The demonstration based on a typical case study shows that MCquery is useful for exploring relational data in a single screen with synchronous visual integration of data models, queries and query results.
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