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semantic tickets #13

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jmikedupont2 opened this issue Dec 3, 2024 · 0 comments
Open

semantic tickets #13

jmikedupont2 opened this issue Dec 3, 2024 · 0 comments

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@jmikedupont2
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Meta Ticket: Ticket Splitting and Execution Framework

Objective
Create a system that treats tickets as programs, enabling their automatic decomposition into subtasks. Each ticket URL becomes a semantic web resource representing its meaning, definitions, and role in the holonic structure of the repository as an ontology.


Requirements

  1. Ticket Splitting Mechanism

Functionality:

Analyze tickets to identify subtasks based on structure, complexity, and dependencies.

Split tickets into atomic subtasks, each addressing a specific component or deliverable.

Implementation:

Use natural language processing (NLP) to parse ticket descriptions.

Apply semantic analysis to determine relationships and dependencies.

Maintain context and continuity across subtasks.

  1. Semantic Web Integration

Ticket as a Semantic Resource:

Each ticket URL serves as a semantic web resource with:

Metadata: Creator, timestamp, priority, etc.

Definitions: Contextual information for interpretation.

Role: Position and function within the holon.

Ontology of the Repository:

Define the repository as an ontology, representing the relationships between:

Tickets (tasks and subtasks).

Contributors (roles, expertise).

Code, documentation, and artifacts.

  1. Execution Framework

Self-Describing Tickets:

Tickets act as small programs with embedded logic to:

Define their constraints.

Specify their inputs and outputs.

Link to related tickets or holonic elements.

Process Automation:

Workflow automation triggers actions based on ticket updates (e.g., new branches, PRs, or linked resources).

  1. Meta Operations

Ticket Operations:

Combine tickets (merge).

Decompose tickets (split).

Convert tickets into ZKPs or Meme Coins.

Meta Ticket Functionality:

Create, manage, and resolve meta-tickets that govern other tickets.

Ensure traceability and provenance for all subtask relationships.


Technical Stack

Backend: Python/Node.js for ticket processing logic.

NLP Libraries: SpaCy or Hugging Face for ticket parsing and semantic analysis.

Semantic Web Tools:

RDF and OWL for defining ticket ontologies.

SPARQL for querying ticket relationships.

Git Integration: GitHub/GitLab APIs for ticket and repository management.


Deliverables

  1. Automated Ticket Processor: Service to split tickets into subtasks, linking them via semantic definitions.

  2. Semantic Ticket URL Generator: Framework to turn ticket URLs into rich semantic resources.

  3. Ontology Schema: Representation of the repository as a holonic ontology.

  4. Documentation: Explain system usage, integration, and expansion for contributors.


Would you like to add specific examples or integrate this framework with the other tickets?

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