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Description:
While the OpenAPI specifications for Kubernetes offer a taxonomy, integrating a graph data model with formalized ontologies unlocks a multitude of capabilities. Among these, enabling inferencing necessary for natural language processing stands out as a straightforward application. This, in turn, facilitates the possibility of a human-centric query/response interaction. Importantly, advancing to a knowledge semantic graph from a connected systems' graph data model opens the door to building more sophisticated systems.
-Expected Outcome:
- Identifying new technologies from CNCF landscape and creating ne w YAML-formatted definition of one or more relationships.
- Documentation of each relationship - per component.
- Development of new types of genealogies - new types of ways in which resources relate to one another and how these relationships might be visualized.
Recommended Skills:
Familiarity with Helm charts and Artifact Hub, basic familiarity with Kubernetes, familiarity with CNCF different projects would be helpful
The text was updated successfully, but these errors were encountered:
Iam really interested in contributing to this , iam a beginner to open source currently, I hope this contribution help me kickstart my journey in the opensource, I would definitely put my 100percent effort in learning and contributing to it. I believe it's the best practice of learning.
@leecalcote , I am interested in contributing to the project listed in the CNCF's mentoring repository. I am eager to get started and would appreciate your guidance on how to begin.
Could you please provide me with information on any preliminary tasks or prerequisites that I should complete before diving into the project? Additionally, any advice on how to best prepare myself for contributing would be greatly appreciated.
Description:
While the OpenAPI specifications for Kubernetes offer a taxonomy, integrating a graph data model with formalized ontologies unlocks a multitude of capabilities. Among these, enabling inferencing necessary for natural language processing stands out as a straightforward application. This, in turn, facilitates the possibility of a human-centric query/response interaction. Importantly, advancing to a knowledge semantic graph from a connected systems' graph data model opens the door to building more sophisticated systems.
-Expected Outcome:
- Identifying new technologies from CNCF landscape and creating ne w YAML-formatted definition of one or more relationships.
- Documentation of each relationship - per component.
- Development of new types of genealogies - new types of ways in which resources relate to one another and how these relationships might be visualized.
Recommended Skills:
Familiarity with Helm charts and Artifact Hub, basic familiarity with Kubernetes, familiarity with CNCF different projects would be helpful
The text was updated successfully, but these errors were encountered: