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An Adaptive Complex Data Investigation Methodology using Interactive Multi-Menus

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Multimedia presentation of dynamic rheological experimental and simulated data sets is a complex process, due to the dynamic interrelation of the data. In this work we address the problem of direct data interaction, focusing particularly on the case where the application has to dynamically handle changes at runtime. Interactivity modeling relies on visual metadata representations, which are both used to relate directly to the underlying system-graph and formally describe content-connectivity. Under this context a novel user-interaction structure (Multi-Menu) is introduced, allowing valid-only data comparison across the vast number of possible results combinations, supporting discussion-based data combinations and user-driven scenarios, which can in turn trigger automated simulation execution to generate missing data. The proposed methodology applies to other complex data investigation scenarios and systems with adaptive interactivity and automatic system-adjustment requirements.

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Correspondence to Deliyiannis Ioannis , Andreas Floros or Michael F. Webster .

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Ioannis, D., Floros, A., Webster, M.F. (2009). An Adaptive Complex Data Investigation Methodology using Interactive Multi-Menus. In: Sicilia, MA., Lytras, M.D. (eds) Metadata and Semantics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77745-0_38

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  • DOI: https://doi.org/10.1007/978-0-387-77745-0_38

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-77744-3

  • Online ISBN: 978-0-387-77745-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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