Karer, BenjaminFernández-Prieto, DianaHagen, HansBarbora Kozlikova and Tobias Schreck and Thomas Wischgoll2017-06-122017-06-122017978-3-03868-043-7https://doi.org/10.2312/eurovisshort.20171153https://diglib.eg.org:443/handle/10.2312/eurovisshort20171153The efficient extraction and communication of information in heterogeneous data domains is a major challenge in the context of the ongoing digitalization efforts in industry and in the public sector. The heterogeneity of the data itself and the diverse interests of the users addressing it demand the integration of structural and semantic information about data aggregated from multiple sources into a single model and unified visualization. In this paper, we present an approach to visualize the possible interpretations of data integrated from heterogeneous environments, including the sequences of operations applied to filter, transform, and reinterpret the data, such that the result supports these interpretations. Users can thereby access and explore integrated data from the perspective specific to their respective fields of experience.I.2.4 [Artificial Intelligence]Knowledge Representation Formalisms and MethodsSemantic NetworksI.3.m [Computer Graphics]Miscellaneous10.2312/eurovisshort.20171153175-179