Deploy from jjohare/logseq @ 94523b8c2cccf3b2bbd664f0297c1524b01c674e jjohare/logseq@94523b8

Author: jjohare

api/pages/pages/3D Rendering Engine.json

@@ -12,18 +12,18 @@
     "Avatar"
   ],
   "wiki_links": [
-    "Digital Twin",
-    "Game Development",
-    "Augmented Reality",
     "Virtual Reality",
-    "Immersive Experiences",
-    "Unity",
     "Unreal Engine",
-    "Blender",
-    "XR Applications",
-    "Real-time Visualisation",
+    "Computer Graphics",
+    "Digital Twin",
     "Metaverse",
-    "Computer Graphics"
+    "Real-time Visualisation",
+    "XR Applications",
+    "Game Development",
+    "Blender",
+    "Immersive Experiences",
+    "Augmented Reality",
+    "Unity"
   ],
   "ontology": {
     "term_id": "NGM-7009",

api/pages/pages/A-Star Algorithm.json

@@ -7,64 +7,64 @@
     "RB-1018-dijkstra-algorithm"
   ],
   "wiki_links": [
-    "Priority Queue",
-    "AlgorithmicLayer",
-    "Pathfinding",
-    "Admissible Heuristic",
-    "ComputationAndIntelligenceDomain",
-    "Path Reconstruction",
-    "Distance Metric",
-    "Greedy Best-First Search",
+    "Cormen Introduction to Algorithms",
+    "Goal-Directed Search",
+    "Iterative Deepening A*",
+    "Autonomous Navigation",
     "International Planning Competition",
-    "Graph Representation",
-    "Breadth-First Search",
-    "Heuristic Evaluation",
-    "Russell & Norvig Artificial Intelligence Modern Approach",
-    "Motion Planning",
-    "Route Planning",
-    "Best-First Search",
-    "AI-GroundedDomain",
+    "Heuristic Function",
     "Network Routing",
-    "Google Maps Platform",
-    "Algorithmic Efficiency",
-    "Hash Table",
-    "Hart, Nilsson, Raphael 1968 Formal Basis for Heuristic Determination",
-    "Iterative Deepening A*",
+    "Best-First Search",
+    "ComputationAndIntelligenceDomain",
     "Evaluation Function",
+    "Open Set",
+    "Graph Theory",
+    "Graph Algorithms",
+    "Closed Set",
+    "Motion Planning",
+    "Priority Queue",
+    "Graph Representation",
+    "Admissible Heuristic",
+    "Heuristic Search",
+    "Data Structures",
+    "Video Game AI",
     "Navigation",
-    "Optimal Pathfinding",
-    "Graph Data Structure",
+    "Distance Heuristics",
+    "Unity Technologies NavMesh Documentation",
+    "Heuristic Evaluation",
+    "Informed Search Strategy",
+    "Robotics Industry Association Automation Statistics",
+    "Search Algorithms",
+    "Uniform Cost Search",
+    "Russell & Norvig Artificial Intelligence Modern Approach",
     "Cost Function",
-    "Data Structures",
-    "AlgorithmicFramework",
-    "Informed Search",
-    "Heuristic Function",
     "ApplicationLayer",
-    "Autonomous Navigation",
-    "Robotics Control",
-    "Heuristic Search",
-    "Unity Technologies NavMesh Documentation",
     "Heuristic Methods",
-    "Open Set",
-    "Goal-Directed Search",
+    "Hart, Nilsson, Raphael 1968 Formal Basis for Heuristic Determination",
+    "Algorithmic Efficiency",
+    "Bidirectional Search",
+    "AlgorithmicLayer",
+    "Breadth-First Search",
     "Optimal Path Discovery",
+    "Path Reconstruction",
+    "Optimization Algorithms",
+    "AlgorithmicFramework",
+    "Pathfinding",
+    "Route Planning",
+    "Informed Search",
+    "Hash Table",
+    "Graph Data Structure",
+    "Google Maps Platform",
+    "Distance Metric",
     "Priority Queue Data Structure",
+    "AI-GroundedDomain",
+    "Optimal Pathfinding",
+    "Robotics Control",
+    "Logistics Optimization",
     "Node Expansion",
-    "Uniform Cost Search",
-    "Graph Algorithms",
-    "Informed Search Strategy",
-    "Optimization Algorithms",
-    "Search Algorithms",
-    "Graph Theory",
-    "Dijkstra's Algorithm",
-    "Bidirectional Search",
     "ROS Navigation Stack",
-    "Cormen Introduction to Algorithms",
-    "Logistics Optimization",
-    "Robotics Industry Association Automation Statistics",
-    "Closed Set",
-    "Distance Heuristics",
-    "Video Game AI"
+    "Dijkstra's Algorithm",
+    "Greedy Best-First Search"
   ],
   "ontology": {
     "term_id": "AI-1004",

api/pages/pages/AI Applications.json

@@ -4,12 +4,12 @@
   "content": "- ### OntologyBlock\n  id:: ai-applications-ontology\n  collapsed:: true\n\t- ontology:: true\n\t- term-id:: AI-0604\n\t- preferred-term:: AI Applications\n\t- source-domain:: ai\n\t- status:: active\n\t- public-access:: true\n\t- definition:: AI Applications represent domain-specific implementations of artificial intelligence technologies across various industries and use cases. This category encompasses practical deployments of AI in healthcare, autonomous vehicles, personal assistants, industrial automation, financial services, and other sectors where AI delivers tangible value.\n\t- owl:class:: ai:AIApplications\n\t- belongsToDomain:: [[Artificial Intelligence]]\n\t- #### Relationships\n\t  id:: ai-applications-relationships\n\t  collapsed:: true\n\t\t- is-subclass-of:: [[Artificial Intelligence]]\n\t\t- is-parent-of:: [[Medical AI]]\n\t\t- is-parent-of:: [[Autonomous Vehicles]]\n\t\t- is-parent-of:: [[AI Assistant]]\n\t\t- is-parent-of:: [[Industrial AI]]\n\t\t- related-to:: [[AI Deployment]]",
   "backlinks": [],
   "wiki_links": [
-    "Artificial Intelligence",
-    "Industrial AI",
-    "AI Deployment",
+    "Autonomous Vehicles",
     "AI Assistant",
+    "AI Deployment",
+    "Industrial AI",
     "Medical AI",
-    "Autonomous Vehicles"
+    "Artificial Intelligence"
   ],
   "ontology": {
     "term_id": "AI-0604",

api/pages/pages/AI Concept.json

@@ -6,11 +6,11 @@
     "ModelProperty"
   ],
   "wiki_links": [
-    "Artificial Intelligence",
+    "owl:Thing",
     "Machine Learning",
     "Cognitive Architecture",
     "Knowledge Representation",
-    "owl:Thing"
+    "Artificial Intelligence"
   ],
   "ontology": {
     "term_id": "AI-9002",

api/pages/pages/AI Framework.json

@@ -9,11 +9,11 @@
     "Intelligent Virtual Entity"
   ],
   "wiki_links": [
+    "owl:Thing",
     "Neural Network Library",
-    "Deep Learning Framework",
     "AutoML",
-    "Model Optimization",
-    "owl:Thing"
+    "Deep Learning Framework",
+    "Model Optimization"
   ],
   "ontology": {
     "term_id": "AI-9005",

api/pages/pages/AI Hardware.json

@@ -14,15 +14,15 @@
     "Tensor Processing Unit"
   ],
   "wiki_links": [
+    "AI Infrastructure",
+    "Machine Learning",
+    "Deep Learning",
+    "Computer Hardware",
     "High-Performance Computing",
     "Artificial Intelligence",
-    "AI Infrastructure",
-    "AI Training",
     "Neural Networks",
-    "Deep Learning",
-    "Machine Learning",
-    "Large Language Models",
-    "Computer Hardware"
+    "AI Training",
+    "Large Language Models"
   ],
   "ontology": {
     "term_id": "AI-7020",

api/pages/pages/AI Infrastructure.json

@@ -6,11 +6,11 @@
     "AI Hardware"
   ],
   "wiki_links": [
+    "Cloud AI",
     "GPU Computing",
-    "Artificial Intelligence",
-    "Edge AI",
     "AI Deployment",
-    "Cloud AI"
+    "Edge AI",
+    "Artificial Intelligence"
   ],
   "ontology": {
     "term_id": "AI-0603",

api/pages/pages/AI Safety.json

@@ -10,12 +10,12 @@
     "AI Risks"
   ],
   "wiki_links": [
-    "Artificial Intelligence",
-    "AI Alignment",
     "Interpretability",
-    "Value Alignment",
+    "AI Alignment",
+    "Adversarial Robustness",
     "AI Governance",
-    "Adversarial Robustness"
+    "Value Alignment",
+    "Artificial Intelligence"
   ],
   "ontology": {
     "term_id": "AI-4009",