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This is the second piece in a series on developing XR applications and experiences using Oracle.
The first piece can be foundhere.
Again, I will focus on applications developed with Oracle database and cloud technologies, HoloLens 2 (Microsoft Mixed Reality Headset), MRTK (Mixed Reality Toolkit) APIs (v2.7.2), and Unity (v2021.1.20f) platform.
Throughout the blog, I will reference a corresponding demo video below.
For any new reader, the first piece of this series, an overview of XR and Hololens, discusses some useful background information.
The first blog in this series was based on a and described a number of aspects that will be present in the metaverse such as online shopping, DevOps, etc. I will continue to delve into these areas in this series, focusing a little more on collaboration as we progress.
The graphs in this workshop include models, notebooks, etc. These resources can be shared and used to foster active collaboration (even in real-time) remotely.
These functionalities will be expanded upon and extended to concepts such as digital doubles in these future pieces.
This blog will not go into property graph concepts deeply and will instead focus on the XR-enablement of them using examples in .
There are essentially four parts or stages to (visual) graph analysis:
The actual data
The relationships and graph modeling of that data
Notebooks written (i.e., in PGQL) for analysis
Visualization of the notebook output in various layouts and highlights
The creation of a property graph model from existing tables looks like this:
The following force graph layout shows community detection, specifically strongly connected components, and the Kosaraj algorithm for community detection in the case.
The following is an XR HoloLens representation of the same case, where vertex and edge labels are shown, as well as the directional relationship of those edges and objects. All of which can be manipulated via GGV (gaze, gesture, and voice).
There are numerous types of layouts, each with its own customization settings, tailored for viewing different aspects from different vantage points. Here we see a Concentric layout.
The following is an XR Hololens representation of the same. As with all of the XR representations discussed, it is possible to manipulate and analyze the graph visualizations through GGV. However, in this case, I have also added rotation and movement to the final visual representation in order to provide multiple angles and position the graph in a way as best suited to analysis as possible. I've also added spatial audio in this case just for fun though I will be exploring it as an additional tool for analysis and detection as well.
Finally, the video shows a concept for visual data and graph modeling where data sources (in this case, basic tables, but not limited to such) are represented as objects (cubes) that can be dropped on a common platform/dock. This action results in processing on the Oracle database to create a graph model, correlations, commonalities, etc., and produce as output other objects that can, in turn, be studied and used in further combinations and analysis.
The use cases for properties graphs are literally endless and I have only scratched the surface of how they can be visualized in XR. I look forward to putting out more blogs on this topic and other areas of XR with Oracle Cloud and Database soon.
Please see the articles I publish for more information on Oracle converged database as well as various topics around microservices, observability, transaction processing, etc. Also, please feel free to contact me with any questions or suggestions for new blogs and videos as I am very open to suggestions. Thanks for reading and watching.