Visual Maps for Data-Intensive Ecosystems

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Authors: Efthymia Kontogiannopoulou, Panos Vassiliadis, Petros Manousis

Tags: 2014, conceptual modeling

Data-intensive ecosystems are conglomerations of one or more databases along with software applications that are built on top of them. This paper proposes a set of methods for providing visual maps of data-intensive ecosystems. We model the ecosystem as a graph, with modules (tables and queries embedded in the applications) as nodes and data provision relationships as edges. We cluster the modules of the ecosystem in order to further highlight their interdependencies and reduce visual clutter. We employ three alternative, novel, circular graph drawing methods for creating a visual map of the graph.

Read the full paper here: https://link.springer.com/chapter/10.1007/978-3-319-12206-9_32