Hybrid Framework for Information Visualization Enablers (HI-FIVE)

This project will research, design, and demonstrate a Hybrid Framework for Information Visualization Enablers (HI-FIVE). We propose a novel, model-based “no-programming required” approach that leverages the proven IDEF family of methods, on Web-services, and a proven data display format called Data Display Markup Language (DDML). HI-FIVE provides an extendible framework for rapidly developing, configuring, and managing displays that enable rapid and actionable understanding of “system of systems” data. HI-FIVE will provide critical enabling technology for enabling “rapid and flexible data visualization of federated data from multiple domains leveraging a unifying ontology of the relevant concepts from the different domains.” Our solution will drastically mitigate the difficulties associated with achieving “system of systems situational awareness” arising from different problems, including the following (i) combinations of structured and unstructured data, (ii) diverse data formats, (iii) varying amounts of useful information in the data, and (iv) diverse visualization paradigms. Phase I developed the HI-FIVE methodology and configured an application framework to facilitate the “model-driven, ontology-centric, standards-based automated data visualization generation for information portals”. Phase II will extend and refine the methodology and harden the framework in order to transition the technology to MDA and the 45th Wing and ensure commercialization success.