Applications
IEEE Digital Reality serves to explore and enable the coming Digital Transformation through its collaboration across IEEE and external to IEEE by leveraging the technologies of VR, AR, MR and all eXtended Reality solutions with the applied learning from the massive amounts of continuously generated data through Artificial Intelligence and Machine Learning. All resulting in its overall Digital Transformation which is impacting all the areas of our society.
Two applications being developed by IEEE Digital Reality that could become products and services providing significant benefits to members of the technical community and the public, and which could have a lasting impact on IEEE or its business processes are the Digital Reality Exchange (DRX) and Knowledge as a Service (KaaS).
IEEE Digital Reality Exchange (DRX)
The Digital Reality Exchange (DRX) is becoming a “reality” and progressing well with its released proof of concept. Its features include providing project self-assessment vetting tools and guidelines, educating Project Owners, providing guidance on ethics and social implications, act as a Matchmaker based on practice area and/or industry verticals, project scope, and expertise, and budget. It encourages sharing of information through contributed success stories and case studies.
Currently, a robust interactive engagement with our early adopters is underway to refine and solidify the offering. DRX looks to secure content to populate the site from both an informational, educational and practical use.
IEEE Knowledge as a Service (KaaS)
The Knowledge as a Service (KaaS) application is progressing well with the release of its prototype. With access to the full IEEE ontology, of some 14,000 terms and topics, has provided a very good testing environment speeding up its development and release. The specs for the data structure based on JSON and for a first set of APIs to explore the knowledge space have been designed, tested, and consolidated.
KaaS supports the exploration and browsing of the ontology with a web interface. It can serve to identify duplicates, gaps, and inconsistencies. A new feature in the tool allows a person through visualization to explore the knowledge graph to pinpoint issues.
Leveraging one’s knowledge space, KaaS will create a Cognitive Digital Twin that can be graphically visualized by the user.
Technology roadmaps are a key enabler to support the industry. KaaS will support roadmap creation and leverage the vast knowledge base of IEEE, something that is unique and a differentiator. This will be a visualization of roadmaps with the automatic creation of the evolution in the last years deriving it from the knowledge base and providing support for the extension of true road mapping.
Continued development of new features includes the consolidation of the Cognitive Digital Twins providing web tools for their creation and exploitation as smart personal filters; expanding the information set attached to knowledge entities to include conferences, webinars, IEEE articles; creating a service to identify Knowledge Gaps, both with respect to a Cognitive Digital Twin and with respect to a defined knowledge boundary like an application area and related graphical representation; including the first set of machine learning tools to support knowledge analytics, and more.