{
  "document": {
    "document_id": "doc-paddlenet-license",
    "title": "paddleNET Content License",
    "slug": "license",
    "document_type": "policy",
    "author": "Eddie Soehnel",
    "created_at": "2026-06-03",
    "updated_at": "2026-06-03",
    "summary": "License and attribution guidance for original paddleNET content and machine-readable semantic artifacts.",
    "tags": [
      "license",
      "creative-commons",
      "attribution",
      "semantic-artifacts"
    ],
    "source_path": "/content/wiki/license.md",
    "canonical_url": "https://paddlenet.earth/wiki/license/",
    "license": "https://creativecommons.org/licenses/by/4.0/",
    "usageInfo": "https://paddlenet.earth/wiki/license/",
    "materialization_level": "2.5"
  },
  "chunks": [
    {
      "chunk_id": "chk-3256cdbe-a5b2-4304-b30a-6733f5a09dc1",
      "knowledge_id": "kid-52c67251-0c9b-48b7-9b44-e6cd9f92b6d2",
      "chunk_label": "content-license",
      "knowledge_label": "paddlenet-content-license",
      "order": 1,
      "heading_path": [
        "paddleNET Content License"
      ],
      "content": "# paddleNET Content License\n\nUnless otherwise stated, original written content published on paddleNET is made available under the Creative Commons Attribution 4.0 International License.\n\nThis means you may share, quote, summarize, adapt, and build upon paddleNET content, including for research, education, analysis, indexing, search, and machine-readable discovery, provided that you give appropriate credit and link back to the original paddleNET page.\n\nCanonical license URL:\n[https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)",
      "summary": "States that original paddleNET content is available under Creative Commons Attribution 4.0 unless otherwise noted.",
      "tags": [
        "license",
        "creative-commons",
        "reuse"
      ],
      "semantic_core": {
        "content_type": "policy",
        "domain": [
          "ai-discovery",
          "paddlesports",
          "policy"
        ],
        "primary_topic": "paddlenet content license",
        "entities": [
          "paddleNET"
        ],
        "key_concepts": [
          "license",
          "creative-commons",
          "reuse"
        ],
        "confidence_level": "high"
      },
      "context": {
        "scope": "Public explanatory website content for paddleNET.",
        "assumptions": [
          "The content reflects the public pre-launch/static website state."
        ],
        "intended_audience": [
          "paddlesports participants",
          "AI agents",
          "search engines",
          "prospective collaborators"
        ],
        "prerequisites": [],
        "applicability": {
          "geography": [
            "North America"
          ],
          "industry": [],
          "system": [
            "paddleNET"
          ]
        }
      },
      "actionability": {
        "is_actionable": false,
        "action_type": "",
        "required_inputs": [],
        "expected_outputs": [],
        "next_steps": []
      },
      "relationships": {
        "supports": [],
        "depends_on": [],
        "expands": [],
        "summarizes": [],
        "related_concepts": [
          "license",
          "creative-commons",
          "reuse"
        ]
      },
      "provenance": {
        "creation_method": "authored",
        "source_alignment": "direct",
        "origin_type": "human",
        "workflows": [
          "author-content-structuring",
          "cis-guided-semantic-chunk-generation"
        ]
      }
    },
    {
      "chunk_id": "chk-29339c68-07a0-493d-a92c-c58d36be1940",
      "knowledge_id": "kid-471b020b-8ab3-4569-86e7-63455ad91b06",
      "chunk_label": "attribution",
      "knowledge_label": "paddlenet-attribution-guidance",
      "order": 2,
      "heading_path": [
        "Attribution"
      ],
      "content": "## Attribution\n\nWhen using paddleNET content, please include attribution in a form similar to:\n\nSource: paddleNET, [https://paddlenet.earth/](https://paddlenet.earth/)\n\nWhen available, attribution should include the title of the page, the page URL, and the date you accessed or reused the content.",
      "summary": "Explains how to attribute reused paddleNET content with source URL and page context.",
      "tags": [
        "attribution",
        "source-url",
        "reuse"
      ],
      "semantic_core": {
        "content_type": "policy",
        "domain": [
          "ai-discovery",
          "paddlesports",
          "policy"
        ],
        "primary_topic": "paddlenet attribution guidance",
        "entities": [
          "paddleNET"
        ],
        "key_concepts": [
          "attribution",
          "source-url",
          "reuse"
        ],
        "confidence_level": "high"
      },
      "context": {
        "scope": "Public explanatory website content for paddleNET.",
        "assumptions": [
          "The content reflects the public pre-launch/static website state."
        ],
        "intended_audience": [
          "paddlesports participants",
          "AI agents",
          "search engines",
          "prospective collaborators"
        ],
        "prerequisites": [],
        "applicability": {
          "geography": [
            "North America"
          ],
          "industry": [],
          "system": [
            "paddleNET"
          ]
        }
      },
      "actionability": {
        "is_actionable": true,
        "action_type": "instruction",
        "required_inputs": [
          "Page title",
          "Page URL",
          "access or reuse date"
        ],
        "expected_outputs": [
          "Attribution statement."
        ],
        "next_steps": []
      },
      "relationships": {
        "supports": [],
        "depends_on": [],
        "expands": [],
        "summarizes": [],
        "related_concepts": [
          "attribution",
          "source-url",
          "reuse"
        ]
      },
      "provenance": {
        "creation_method": "authored",
        "source_alignment": "direct",
        "origin_type": "human",
        "workflows": [
          "author-content-structuring",
          "cis-guided-semantic-chunk-generation"
        ]
      }
    },
    {
      "chunk_id": "chk-08f6972a-024c-4bda-abf3-64c22c58001d",
      "knowledge_id": "kid-0bfcd265-0c83-4e20-9241-b6b37a288fce",
      "chunk_label": "semantic-data-license",
      "knowledge_label": "semantic-artifact-reuse",
      "order": 3,
      "heading_path": [
        "Semantic Data, Summaries, and Machine-Readable Content"
      ],
      "content": "## Semantic Data, Summaries, and Machine-Readable Content\n\npaddleNET publishes structured and machine-readable content, including summaries, semantic chunks, question-and-answer objects, metadata, and related discovery files. Unless otherwise stated, these original paddleNET-generated materials are also available under the Creative Commons Attribution 4.0 International License.\n\nMachine systems, search engines, AI tools, research agents, and other automated systems may read, index, summarize, transform, and reference this material, provided that attribution to paddleNET and the original source URL is preserved where reasonably possible.",
      "summary": "Applies the same attribution-friendly license posture to machine-readable summaries, chunks, QA objects, metadata, and discovery files.",
      "tags": [
        "semantic-artifacts",
        "machine-readable-content",
        "license"
      ],
      "semantic_core": {
        "content_type": "policy",
        "domain": [
          "ai-discovery",
          "paddlesports",
          "policy"
        ],
        "primary_topic": "semantic artifact reuse",
        "entities": [
          "paddleNET"
        ],
        "key_concepts": [
          "semantic-artifacts",
          "machine-readable-content",
          "license"
        ],
        "confidence_level": "high"
      },
      "context": {
        "scope": "Public explanatory website content for paddleNET.",
        "assumptions": [
          "The content reflects the public pre-launch/static website state."
        ],
        "intended_audience": [
          "paddlesports participants",
          "AI agents",
          "search engines",
          "prospective collaborators"
        ],
        "prerequisites": [],
        "applicability": {
          "geography": [
            "North America"
          ],
          "industry": [],
          "system": [
            "paddleNET"
          ]
        }
      },
      "actionability": {
        "is_actionable": false,
        "action_type": "",
        "required_inputs": [],
        "expected_outputs": [],
        "next_steps": []
      },
      "relationships": {
        "supports": [],
        "depends_on": [],
        "expands": [],
        "summarizes": [],
        "related_concepts": [
          "semantic-artifacts",
          "machine-readable-content",
          "license"
        ]
      },
      "provenance": {
        "creation_method": "authored",
        "source_alignment": "direct",
        "origin_type": "human",
        "workflows": [
          "author-content-structuring",
          "cis-guided-semantic-chunk-generation"
        ]
      }
    },
    {
      "chunk_id": "chk-4c1b56d7-e5ef-45d2-a1cf-08763d2c1ac3",
      "knowledge_id": "kid-6b46eb6f-ad4f-4a7f-bd09-8bb9141ee2c4",
      "chunk_label": "third-party-and-commercial-use",
      "knowledge_label": "license-scope-and-commercial-use",
      "order": 4,
      "heading_path": [
        "Third-Party Content",
        "Commercial Use",
        "No Warranty",
        "Contact"
      ],
      "content": "## Third-Party Content\n\nSome paddleNET pages may reference, quote, summarize, link to, or analyze third-party materials. Those third-party materials remain governed by their own licenses, terms, and rights holders. This license applies only to original paddleNET-authored content and paddleNET-generated metadata unless a page states otherwise.\n\n## Commercial Use\n\nThe Creative Commons Attribution 4.0 International License allows commercial use with attribution. If you are using paddleNET content at scale, in a commercial product, or as part of a large dataset, we ask that you preserve source links and attribution metadata so downstream users can trace content back to its original context.\n\n## No Warranty\n\npaddleNET content is provided for informational purposes only, without warranties of any kind. We do not guarantee that all information is complete, current, or suitable for any particular purpose.\n\n## Contact\n\nFor questions about licensing, attribution, partnerships, or uses not clearly covered here, contact paddleNET through the contact information provided on this site.",
      "summary": "Clarifies third-party content boundaries, commercial use with attribution, warranty limits, and licensing contact guidance.",
      "tags": [
        "third-party-content",
        "commercial-use",
        "no-warranty"
      ],
      "semantic_core": {
        "content_type": "policy",
        "domain": [
          "ai-discovery",
          "paddlesports",
          "policy"
        ],
        "primary_topic": "license scope and commercial use",
        "entities": [
          "paddleNET"
        ],
        "key_concepts": [
          "third-party-content",
          "commercial-use",
          "no-warranty"
        ],
        "confidence_level": "high"
      },
      "context": {
        "scope": "Public explanatory website content for paddleNET.",
        "assumptions": [
          "The content reflects the public pre-launch/static website state."
        ],
        "intended_audience": [
          "paddlesports participants",
          "AI agents",
          "search engines",
          "prospective collaborators"
        ],
        "prerequisites": [],
        "applicability": {
          "geography": [
            "North America"
          ],
          "industry": [],
          "system": [
            "paddleNET"
          ]
        }
      },
      "actionability": {
        "is_actionable": false,
        "action_type": "",
        "required_inputs": [],
        "expected_outputs": [],
        "next_steps": []
      },
      "relationships": {
        "supports": [],
        "depends_on": [],
        "expands": [],
        "summarizes": [],
        "related_concepts": [
          "third-party-content",
          "commercial-use",
          "no-warranty"
        ]
      },
      "provenance": {
        "creation_method": "authored",
        "source_alignment": "direct",
        "origin_type": "human",
        "workflows": [
          "author-content-structuring",
          "cis-guided-semantic-chunk-generation"
        ]
      }
    }
  ]
}