Agibetov, AsanVaquero, Ricardo Manuel MillanFriese, Karl-IngoPatane, GiuseppeSpagnuolo, MichelaWolter, Franz-ErichM. Pohl and J. Roberts2014-12-162014-12-162014978-3-905674-68-2https://doi.org/10.2312/eurova.20141141The study and analysis of relationships in a complex and multi-scale data set is a challenge of information and scientific visualization. This work proposes an integrated visualization to capture all the important aspects of multi-scale data into the same view by leveraging the multi-scale biomedical knowledge encoded into an underlying ontology. Ontology supports visualization by providing semantic means to identify relevant items that must be presented to the user. The study and analysis of relationships across the scales are presented as results of queries to the multi-scale biomedical knowledge space. We demonstrate the prototype of the graphical interface of an integrated visualization framework and the knowledge formalization support in an example scenario related to the musculoskeletal diseases.H.5.0 [Information Systems]Information Interfaces and PresentationGeneralJ.3 [Computer Applications]Life and Medical SciencesHealthI.2.4 [Computing Methodologies]Artificial IntelligenceKnowledge Representation Formalisms and Methods