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State-of-the-art visual analytics techniques in application domains are oftendesigned by VA professionals over qualitative requirement collected from endusers. These VA techniques may not leverage users' domain knowledge about howto achieve their analytical goals. In this position paper, we propose auser-driven design process of VA applications centered around a new conceptcalled analytical representation (AR). AR features a formal abstraction of userrequirement and their desired analytical trails for certain VA application, andis independent of the actual visualization design. A conceptual graph schema isintroduced to define the AR abstraction, which can be created manually orconstructed by semi-automated tools. Designing VA applications with AR providesa shared opportunity for both optimal analysis blueprint from the perspectiveof end users and optimal visualization/algorithm from the perspective of VAdesigners. We demonstrate the usage of the design process in two case studies.

A Design Process of Visual Analytics Applications using Conceptual Graph