Deploy JSON-LD v3 pipeline from jjohare/logseq @ 32b9825769bc86e5672e54e92798c58081f04677 jjohare/logseq@32b9825

Author: jjohare

api/markdown/3D Graphics Standard.md

@@ -180,7 +180,7 @@ public:: true
   "@id": "urn:ngm:class:3-d-graphics-standard",
   "@type": "Class",
   "label": "3D Graphics Standard",
-  "definition": "3D Graphics Standards are technical specifications and conventions governing the representation, rendering, and interchange of three-dimensional visual data, including APIs like [[OpenGL]], [[DirectX]], and [[Vulkan]], shader languages, and coordinate system conventions.",
+  "definition": "3D Graphics Standards are technical specifications and conventions governing the representation, rendering, and interchange of three-dimensional visual data, including APIs like OpenGL, DirectX, and Vulkan, shader languages, and coordinate system conventions.",
   "domain": "spatial-computing",
   "maturity": "draft",
   "subClassOf": [

api/markdown/3D Model.md

@@ -172,7 +172,7 @@ public:: true
   "@id": "urn:ngm:class:3-d-model",
   "@type": "Class",
   "label": "3D Model",
-  "definition": "A 3D Model is a digital representation of a three-dimensional object or environment constructed from vertices, edges, faces, and materials, encoded in formats such as [[3D File Format]].",
+  "definition": "A 3D Model is a digital representation of a three-dimensional object or environment constructed from vertices, edges, faces, and materials, encoded in formats such as 3D File Format.",
   "domain": "spatial-computing",
   "maturity": "draft",
   "subClassOf": [

api/markdown/3D Reconstruction.md

@@ -164,7 +164,7 @@ public:: true
   "@id": "urn:ngm:class:3-d-reconstruction",
   "@type": "Class",
   "label": "3D Reconstruction",
-  "definition": "3D Reconstruction is the computational process of recovering three-dimensional geometric and structural information from multiple 2D images or sensor data (such as LiDAR or depth cameras) using techniques including [[Computer Vision]], photogrammetry, and Structure-from-Motion (SfM).",
+  "definition": "3D Reconstruction is the computational process of recovering three-dimensional geometric and structural information from multiple 2D images or sensor data (such as LiDAR or depth cameras) using techniques including Computer Vision, photogrammetry, and Structure-from-Motion (SfM).",
   "domain": "spatial-computing",
   "maturity": "draft",
   "subClassOf": [

api/markdown/424.md

@@ -101,30 +101,6 @@ public:: true
 }
 ```
 
-```json-ld
-{
-  "@context": "https://narrativegoldmine.com/ns/v2.jsonld",
-  "@id": "urn:ngm:class:424",
-  "@type": "Class",
-  "label": "424",
-  "definition": "424 is a technology infrastructure concept and a type of infrastructure.",
-  "domain": "infrastructure",
-  "maturity": "draft",
-  "subClassOf": [
-    {
-      "@id": "urn:ngm:class:infrastructure",
-      "label": "infrastructure"
-    }
-  ],
-  "quality": 0.35,
-  "provenance": {
-    "attributedTo": "did:nostr:lcr-swarm",
-    "generatedAt": "2026-05-18T07:12:05Z",
-    "inferenceRule": "R5DomainRootFallback"
-  }
-}
-```
-
 ```json-ld
 {
   "@context": "https://narrativegoldmine.com/context/v1.jsonld",
@@ -147,7 +123,6 @@ public:: true
 }
 ```
 
-
 - ### Definition
   - 424 is a concept within the ngm domain.
 

api/markdown/AI Agent System.md

@@ -844,7 +844,7 @@ public:: true
   "@id": "urn:ngm:class:ai-agent-system",
   "@type": "Class",
   "label": "AI Agent System",
-  "definition": "An autonomous software entity that perceives its environment through [[Sensor Input|sensors]], makes decisions using [[AI Techniques]], and takes actions to achieve specific goals, capable of [[Machine Learning|learning]] from experience and adapting [[Adaptive Behavior|behaviour]] over time.",
+  "definition": "An autonomous software entity that perceives its environment through Sensor Input|sensors, makes decisions using AI Techniques, and takes actions to achieve specific goals, capable of Machine Learning|learning from experience and adapting Adaptive Behavior|behaviour over time.",
   "domain": "artificial-intelligence",
   "maturity": "established",
   "subClassOf": [

api/markdown/AI Model Card.md

@@ -296,7 +296,7 @@ public:: true
   "@id": "urn:ngm:class:ai-model-card",
   "@type": "Class",
   "label": "AI Model Card",
-  "definition": "A structured documentation format that describes an [[AI Model]]'s purpose, [[Performance Metrics]], limitations, [[ical Considerations]], and appropriate [[Use Case|use cases]] to promote [[Transparency]] and [[Responsible AI Deployment|responsible deployment]].",
+  "definition": "A structured documentation format that describes an AI Model's purpose, Performance Metrics, limitations, ical Considerations, and appropriate Use Case|use cases to promote Transparency and Responsible AI Deployment|responsible deployment.",
   "domain": "artificial-intelligence",
   "maturity": "established",
   "subClassOf": [

api/markdown/AIEthics.md

@@ -200,7 +200,7 @@ public:: true
   "@id": "urn:ngm:class:aiethics",
   "@type": "Class",
   "label": "AIEthics",
-  "definition": "A framework of ical principles and governance structures ensuring responsible development, deployment, and oversight of [[Artificial Intelligence]] systems in compliance with societal values.",
+  "definition": "A framework of ical principles and governance structures ensuring responsible development, deployment, and oversight of Artificial Intelligence systems in compliance with societal values.",
   "domain": "artificial-intelligence",
   "maturity": "draft",
   "subClassOf": [

api/markdown/API Gateway.md

@@ -732,7 +732,7 @@ public:: true
   "@id": "urn:ngm:class:api-gateway",
   "@type": "Class",
   "label": "API Gateway",
-  "definition": "Infrastructure component serving as the unified northbound entry point for client requests into a [[Distributed System|distributed]] or [[Microservices|microservices]] backend, providing cross-cutting policy enforcement (request routing across hundreds-to-thousands of upstream services, authentic...",
+  "definition": "Infrastructure component serving as the unified northbound entry point for client requests into a Distributed System|distributed or Microservices|microservices backend, providing cross-cutting policy enforcement (request routing across hundreds-to-thousands of upstream services, authentic...",
   "domain": "infrastructure",
   "maturity": "established",
   "subClassOf": [

api/markdown/AR Registration.md

@@ -176,7 +176,7 @@ public:: true
   "@id": "urn:ngm:class:ar-registration",
   "@type": "Class",
   "label": "AR Registration",
-  "definition": "AR Registration is the spatial alignment process that anchors virtual content to real-world coordinates through [[Computer Vision]], [[Sensor Input]], and tracking algorithms.",
+  "definition": "AR Registration is the spatial alignment process that anchors virtual content to real-world coordinates through Computer Vision, Sensor Input, and tracking algorithms.",
   "domain": "spatial-computing",
   "maturity": "draft",
   "subClassOf": [

api/markdown/Accelerometer.md

@@ -168,7 +168,7 @@ public:: true
   "@id": "urn:ngm:class:accelerometer",
   "@type": "Class",
   "label": "Accelerometer",
-  "definition": "Accelerometer - A microelectromechanical sensor (MEMS) that detects changes in velocity and gravity along three orthogonal axes, enabling robots to measure [[Motion]], [[Orientation]], and [[Vibration]] for real-time feedback control and navigation.",
+  "definition": "Accelerometer - A microelectromechanical sensor (MEMS) that detects changes in velocity and gravity along three orthogonal axes, enabling robots to measure Motion, Orientation, and Vibration for real-time feedback control and navigation.",
   "domain": "robotics",
   "maturity": "draft",
   "subClassOf": [