Deploy JSON-LD v3 pipeline from jjohare/logseq @ 5c344fe774f1376d5c4e62fe56081ab49ee21127 jjohare/logseq@5c344fe

Author: jjohare

api/markdown/Access Control.md

@@ -75,8 +75,8 @@ alias:: AccessControl
   "domain": "security",
   "maturity": "emerging",
   "subClassOf": {
-    "@id": "urn:ngm:class:security-mechanism",
-    "label": "Security Mechanism"
+    "@id": "urn:ngm:class:infra-security-and-identity",
+    "label": "Infra Security And Identity"
   },
   "relations": {
     "hasPart": [
@@ -201,6 +201,10 @@ alias:: AccessControl
       {
         "@id": "urn:ngm:class:multi-factor-authentication",
         "label": "Multi-Factor Authentication"
+      },
+      {
+        "@id": "urn:ngm:class:security-mechanism",
+        "label": "Security Mechanism"
       }
     ]
   },

api/markdown/Adversarial Attack.md

@@ -55,8 +55,8 @@ public:: true
   "maturity": "emerging",
   "qualityScore": 0.72,
   "subClassOf": {
-    "@id": "urn:ngm:class:ai-security-threat",
-    "label": "AI Security Threat"
+    "@id": "urn:ngm:class:ai-governance-and-ethics",
+    "label": "Ai Governance And Ethics"
   },
   "sameAs": [
     {
@@ -164,6 +164,10 @@ public:: true
       {
         "@id": "urn:ngm:class:adversarial-training",
         "label": "Adversarial Training"
+      },
+      {
+        "@id": "urn:ngm:class:ai-security-threat",
+        "label": "AI Security Threat"
       }
     ],
     "bridgesTo": [

api/markdown/Alan Turing Institute.md

@@ -59,8 +59,8 @@ public:: true
   "maturity": "established",
   "qualityScore": 0.7,
   "subClassOf": {
-    "@id": "urn:ngm:class:research-institute",
-    "label": "Research Institute"
+    "@id": "urn:ngm:class:ai-research-area",
+    "label": "Ai Research Area"
   },
   "relations": {
     "hasPart": [
@@ -177,6 +177,10 @@ public:: true
       {
         "@id": "urn:ngm:class:ai-governance",
         "label": "AI Governance"
+      },
+      {
+        "@id": "urn:ngm:class:research-institute",
+        "label": "Research Institute"
       }
     ]
   },

api/markdown/Arbitrum.md

@@ -71,8 +71,8 @@ public:: true
   "maturity": "established",
   "qualityScore": 0.7,
   "subClassOf": {
-    "@id": "urn:ngm:class:layer-2-scaling-solution",
-    "label": "Layer-2 Scaling Solution"
+    "@id": "urn:ngm:class:bc-protocol-and-consensus",
+    "label": "Bc Protocol And Consensus"
   },
   "relations": {
     "requires": [
@@ -207,6 +207,10 @@ public:: true
       {
         "@id": "urn:ngm:class:plasma",
         "label": "Plasma"
+      },
+      {
+        "@id": "urn:ngm:class:layer-2-scaling-solution",
+        "label": "Layer-2 Scaling Solution"
       }
     ]
   },

api/markdown/Attack Vector.md

@@ -75,8 +75,8 @@ public:: true
   "maturity": "emerging",
   "qualityScore": 0.72,
   "subClassOf": {
-    "@id": "urn:ngm:class:threat",
-    "label": "Threat"
+    "@id": "urn:ngm:class:infra-security-and-identity",
+    "label": "Infra Security And Identity"
   },
   "relations": {
     "requires": [
@@ -117,7 +117,8 @@ public:: true
       {"@id": "urn:ngm:class:risk", "label": "Risk"},
       {"@id": "urn:ngm:class:adversarial-robustness", "label": "Adversarial Robustness"},
       {"@id": "urn:ngm:class:incident-response", "label": "Incident Response"},
-      {"@id": "urn:ngm:class:intrusion-detection", "label": "Intrusion Detection"}
+      {"@id": "urn:ngm:class:intrusion-detection", "label": "Intrusion Detection"},
+      {"@id": "urn:ngm:class:threat", "label": "Threat"}
     ],
     "bridgesTo": [
       {"@id": "urn:ngm:class:adversarial-machine-learning", "label": "Adversarial Machine Learning"},

api/markdown/Automatic Differentiation.md

@@ -23,7 +23,7 @@ public:: true
   "definition": "Automatic differentiation (AD) is a family of computational techniques for evaluating the derivative of a function specified by a computer program, by systematically applying the chain rule to elementary arithmetic operations rather than through symbolic algebra or finite-difference approximation. It operates in two principal modes: forward mode, which propagates tangent values alongside primal values, and reverse mode (backpropagation), which accumulates gradients in a backward pass over a recorded computation graph. AD produces machine-precision derivatives at a cost linear in the number of program operations, making it the computational backbone of modern deep learning frameworks.",
   "domain": "machine-learning",
   "maturity": "established",
-  "subClassOf": {"@id": "urn:ngm:class:numerical-method", "label": "Numerical Method"},
+  "subClassOf": {"@id": "urn:ngm:class:ai-technique", "label": "Ai Technique"},
   "relations": {
     "hasPart": [
       {"@id": "urn:ngm:class:forward-mode-differentiation", "label": "Forward Mode Differentiation"},
@@ -59,7 +59,8 @@ public:: true
       {"@id": "urn:ngm:class:optimisation", "label": "Optimisation"},
       {"@id": "urn:ngm:class:stochastic-gradient-descent", "label": "Stochastic Gradient Descent"},
       {"@id": "urn:ngm:class:loss-function", "label": "Loss Function"},
-      {"@id": "urn:ngm:class:just-in-time-compilation", "label": "Just-In-Time Compilation"}
+      {"@id": "urn:ngm:class:just-in-time-compilation", "label": "Just-In-Time Compilation"},
+      {"@id": "urn:ngm:class:numerical-method", "label": "Numerical Method"}
     ],
     "bridgesTo": [
       {"@id": "urn:ngm:class:differentiable-rendering", "label": "Differentiable Rendering"},

api/markdown/Avatar System.md

@@ -70,8 +70,8 @@ public:: true
   "domain": "spatial-computing",
   "maturity": "draft",
   "subClassOf": {
-    "@id": "urn:ngm:class:virtual-character-system",
-    "label": "Virtual Character System"
+    "@id": "urn:ngm:class:sc-content-and-assets",
+    "label": "Sc Content And Assets"
   },
   "relations": {
     "hasPart": [
@@ -218,6 +218,10 @@ public:: true
       {
         "@id": "urn:ngm:class:augmented-reality",
         "label": "Augmented Reality"
+      },
+      {
+        "@id": "urn:ngm:class:virtual-character-system",
+        "label": "Virtual Character System"
       }
     ]
   },

api/markdown/BIS.md

@@ -23,7 +23,7 @@ public:: true
   "definition": "The Bank for International Settlements (BIS) is an international financial institution owned by 63 member central banks, founded in 1930 and headquartered in Basel, Switzerland. It acts as banker to central banks, providing settlement, custody, and asset management services while fostering monetary and financial cooperation through research, policy forums, and standard-setting committees. The BIS hosts the Basel Committee on Banking Supervision, the Financial Stability Board secretariat, and the Committee on Payments and Market Infrastructures, which together produce globally binding prudential and operational standards such as the Basel Accords and CPMI principles. Through the BIS Innovation Hub it actively researches central bank digital currencies, tokenisation of financial assets, and cyber resilience for financial market infrastructures.",
   "domain": "finance",
   "maturity": "mature",
-  "subClassOf": [{"@id": "urn:ngm:class:international-financial-institution", "label": "International Financial Institution"}],
+  "subClassOf": [{"@id": "urn:ngm:class:infra-legal-and-regulatory", "label": "Infra Legal And Regulatory"}],
   "relations": {
     "hasPart": [
       {"@id": "urn:ngm:class:basel-committee-on-banking-supervision", "label": "Basel Committee on Banking Supervision"},
@@ -56,7 +56,8 @@ public:: true
       {"@id": "urn:ngm:class:financial-regulation", "label": "Financial Regulation"},
       {"@id": "urn:ngm:class:international-monetary-fund", "label": "International Monetary Fund"},
       {"@id": "urn:ngm:class:financial-technology", "label": "Financial Technology"},
-      {"@id": "urn:ngm:class:payment-system", "label": "Payment System"}
+      {"@id": "urn:ngm:class:payment-system", "label": "Payment System"},
+      {"@id": "urn:ngm:class:international-financial-institution", "label": "International Financial Institution"}
     ],
     "bridgesTo": [
       {"@id": "urn:ngm:class:regtech", "label": "RegTech"},

api/markdown/Batch Normalisation.md

@@ -55,8 +55,8 @@ public:: true
   "maturity": "emerging",
   "qualityScore": 0.72,
   "subClassOf": {
-    "@id": "urn:ngm:class:normalisation-technique",
-    "label": "Normalisation Technique"
+    "@id": "urn:ngm:class:ai-technique",
+    "label": "Ai Technique"
   },
   "sameAs": [
     {
@@ -176,6 +176,10 @@ public:: true
       {
         "@id": "urn:ngm:class:optimisation-landscape-smoothing",
         "label": "Optimisation Landscape Smoothing"
+      },
+      {
+        "@id": "urn:ngm:class:normalisation-technique",
+        "label": "Normalisation Technique"
       }
     ],
     "bridgesTo": [

api/markdown/Bitcoin Lightning Network.md

@@ -75,8 +75,8 @@ public:: true
   "maturity": "established",
   "qualityScore": 0.7,
   "subClassOf": {
-    "@id": "urn:ngm:class:layer-two-protocol",
-    "label": "Layer Two Protocol"
+    "@id": "urn:ngm:class:bc-protocol-and-consensus",
+    "label": "Bc Protocol And Consensus"
   },
   "relations": {
     "hasPart": [
@@ -201,6 +201,10 @@ public:: true
       {
         "@id": "urn:ngm:class:watchtower-service",
         "label": "Watchtower Service"
+      },
+      {
+        "@id": "urn:ngm:class:layer-two-protocol",
+        "label": "Layer Two Protocol"
       }
     ]
   },