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Mapping Kubernetes Resources: Identifying relationships between all standard and custom resources #35
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Hey @leecalcote, greatly interested in the project for LFX mentorship term mar-may. I would like to know more about it. |
hey @leecalcote, this issue is interesting. I'd like to work on this for LFX mentorship |
hey @leecalcote can you describe more about it. Seems interesting I would like to work on this project in lfx mentorship |
Hey @leecalcote, I'm interested to work on this project for LFX Mentorship. I am a Certified Kubernetes Administrator and I want to enhance my skills with this project. I would like to know more about it. Also, is there any slack link for the same? |
hey @leecalcote sir and @MUzairS15 assign me this issue ,i am eagerly waiting to work on that issue |
Hey @leecalcote this issue seems really interesting, I would really like to work on this and I'll try my best to contribute |
@Nihit25 @Eeshu-Yadav @pandeyshubham03 @nitishmalang @ChrisJon02 @prakrit55, contributors of the project have amassed here - https://slack.meshery.io. Join the ongoing conversations there, so that we can support your ramping up on the project, please. |
Description
The OpenAPI specifications for Kubernetes provides taxonomy, but augmenting a graph data model with formalized ontologies enables any number of capabilities, one of the more straightforward is the inferencing requisite for natural language processing, and consequently, a human-centric query / response interaction becomes becomes possible. More importantly, more advanced systems can be built when a graph data model of connected systems is upgraded to be a knowledge semantic graph.
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