Deploy from jjohare/logseq @ 699ab3c5c8c18e7a57d1113cf952eab8ad54699f jjohare/logseq@699ab3c

Author: jjohare

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

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

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

@@ -7,64 +7,64 @@
     "RB-1018-dijkstra-algorithm"
   ],
   "wiki_links": [
-    "Heuristic Methods",
-    "Russell & Norvig Artificial Intelligence Modern Approach",
-    "Cormen Introduction to Algorithms",
-    "Informed Search Strategy",
-    "AlgorithmicFramework",
-    "Hash Table",
-    "International Planning Competition",
-    "Video Game AI",
-    "Heuristic Search",
-    "Data Structures",
-    "Informed Search",
-    "Iterative Deepening A*",
-    "Evaluation Function",
-    "Admissible Heuristic",
-    "Algorithmic Efficiency",
-    "Optimal Pathfinding",
-    "Google Maps Platform",
-    "Graph Theory",
-    "Graph Algorithms",
-    "Search Algorithms",
-    "Distance Heuristics",
-    "Best-First Search",
+    "Path Reconstruction",
+    "Bidirectional Search",
+    "Hart, Nilsson, Raphael 1968 Formal Basis for Heuristic Determination",
     "Open Set",
-    "AlgorithmicLayer",
     "Pathfinding",
-    "Graph Representation",
-    "Priority Queue Data Structure",
-    "Uniform Cost Search",
-    "Dijkstra's Algorithm",
+    "Cost Function",
+    "AlgorithmicLayer",
     "Autonomous Navigation",
-    "Bidirectional Search",
-    "ApplicationLayer",
-    "Greedy Best-First Search",
-    "Closed Set",
     "Unity Technologies NavMesh Documentation",
-    "Motion Planning",
+    "Heuristic Function",
+    "ApplicationLayer",
+    "Priority Queue",
     "Optimal Path Discovery",
-    "Heuristic Evaluation",
-    "Goal-Directed Search",
-    "ROS Navigation Stack",
-    "AI-GroundedDomain",
+    "Heuristic Search",
+    "Robotics Industry Association Automation Statistics",
+    "Optimization Algorithms",
+    "Hash Table",
     "Graph Data Structure",
-    "Cost Function",
-    "Logistics Optimization",
-    "Node Expansion",
-    "Navigation",
-    "Hart, Nilsson, Raphael 1968 Formal Basis for Heuristic Determination",
-    "Distance Metric",
-    "Breadth-First Search",
+    "Heuristic Evaluation",
+    "Motion Planning",
+    "Russell & Norvig Artificial Intelligence Modern Approach",
     "ComputationAndIntelligenceDomain",
-    "Robotics Industry Association Automation Statistics",
     "Network Routing",
+    "Heuristic Methods",
+    "Node Expansion",
+    "Algorithmic Efficiency",
+    "ROS Navigation Stack",
     "Route Planning",
-    "Priority Queue",
-    "Heuristic Function",
-    "Path Reconstruction",
-    "Optimization Algorithms",
-    "Robotics Control"
+    "Distance Metric",
+    "Data Structures",
+    "Breadth-First Search",
+    "Graph Representation",
+    "Navigation",
+    "Priority Queue Data Structure",
+    "Dijkstra's Algorithm",
+    "AlgorithmicFramework",
+    "Optimal Pathfinding",
+    "Admissible Heuristic",
+    "Best-First Search",
+    "Iterative Deepening A*",
+    "Logistics Optimization",
+    "AI-GroundedDomain",
+    "Evaluation Function",
+    "Goal-Directed Search",
+    "Distance Heuristics",
+    "Uniform Cost Search",
+    "Informed Search Strategy",
+    "Video Game AI",
+    "Greedy Best-First Search",
+    "Google Maps Platform",
+    "Search Algorithms",
+    "Closed Set",
+    "Graph Theory",
+    "International Planning Competition",
+    "Robotics Control",
+    "Informed Search",
+    "Graph Algorithms",
+    "Cormen Introduction to Algorithms"
   ],
   "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": [
+    "AI Deployment",
     "Industrial AI",
-    "Artificial Intelligence",
-    "Autonomous Vehicles",
+    "AI Assistant",
     "Medical AI",
-    "AI Deployment",
-    "AI Assistant"
+    "Artificial Intelligence",
+    "Autonomous Vehicles"
   ],
   "ontology": {
     "term_id": "AI-0604",

api/pages/pages/AI Concept.json

@@ -7,10 +7,10 @@
   ],
   "wiki_links": [
     "Cognitive Architecture",
-    "Artificial Intelligence",
     "owl:Thing",
+    "Knowledge Representation",
     "Machine Learning",
-    "Knowledge Representation"
+    "Artificial Intelligence"
   ],
   "ontology": {
     "term_id": "AI-9002",

api/pages/pages/AI Framework.json

@@ -9,10 +9,10 @@
     "Game Engine"
   ],
   "wiki_links": [
-    "Deep Learning Framework",
-    "owl:Thing",
-    "Neural Network Library",
     "Model Optimization",
+    "Neural Network Library",
+    "owl:Thing",
+    "Deep Learning Framework",
     "AutoML"
   ],
   "ontology": {

api/pages/pages/AI Hardware.json

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

api/pages/pages/AI Infrastructure.json

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

api/pages/pages/AI Safety.json

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