Deploy from jjohare/logseq @ 37949cd47f9302658b5c4497fb5d638cf236b95e jjohare/logseq@37949cd

Author: jjohare

api/pages/domain-index.json

@@ -0,0 +1,102 @@
+{
+  "id": "6G Network Slice",
+  "title": "6G Network Slice",
+  "content": "- ### OntologyBlock\n  id:: 6g-network-slice-ontology\n  collapsed:: true\n\t- ontology:: true\n\t- term-id:: 20140\n\t- preferred-term:: 6G Network Slice\n\t- public-access:: true\n\t- definition:: Virtual partition of 6G infrastructure guaranteeing specified quality-of-service levels for immersive workloads through isolated resource allocation.\n\t- source:: [[3GPP Release 21]], [[ETSI ENI 008]]\n\t- maturity:: draft\n\t- owl:class:: mv:SixGNetworkSlice\n\t- owl:physicality:: VirtualEntity\n\t- owl:role:: Object\n\t- owl:inferred-class:: mv:VirtualObject\n\t- owl:functional-syntax:: true\n\t- belongsToDomain:: [[InfrastructureDomain]]\n\t- implementedInLayer:: [[NetworkLayer]]\n\t- #### Relationships\n\t  id:: 6g-network-slice-relationships\n\t  collapsed:: true\n\t\t- has-part:: [[Service Level Agreement]]\n\t\t- has-part:: [[Resource Allocation Unit]]\n\t\t- has-part:: [[Traffic Classifier]]\n\t\t- has-part:: [[QoS Policy]]\n\t\t- requires:: [[6G Network Infrastructure]]\n\t\t- requires:: [[Network Slicing Orchestrator]]\n\t\t- requires:: [[SDN Controller]]\n\t\t- enables:: [[Dynamic Resource Allocation]]\n\t\t- enables:: [[Low Latency Service]]\n\t\t- enables:: [[Workload Isolation]]\n\t\t- enables:: [[Guaranteed Bandwidth]]\n\t\t- related-to:: [[Network Slice]]\n\t\t- related-to:: [[Virtual Network]]\n\t\t- related-to:: [[Network Function Virtualization]]\n\t\t- related-to:: [[5G Network Slice]]\n\n## 6G Network Slice\n\n6G Network Slice refers to virtual partition of 6g infrastructure guaranteeing specified quality-of-service levels for immersive workloads through isolated resource allocation.\n\n- Industry adoption and implementations\n\t- Major telecom equipment vendors and operators are actively developing 6G slicing prototypes and testbeds\n\t- Notable organisations and platforms\n\t\t- Ericsson, Nokia, and Huawei are leading in 6G research and development, with ongoing collaborations with academic institutions\n\t\t- The UK’s 6G Innovation Centre (6GIC) at the University of Surrey is a key hub for 6G research, including slicing technologies\n\t- UK and North England examples where relevant\n\t\t- The Northern 5G (N5G) project, spanning Manchester, Leeds, and Newcastle, is exploring advanced network slicing for smart city and industrial applications\n\t\t- Sheffield’s Advanced Manufacturing Research Centre (AMRC) is piloting slicing for immersive industrial workloads, such as remote maintenance and digital twinning\n- Technical capabilities and limitations\n\t- 6G slicing is expected to support ultra-low latency (sub-millisecond), massive connectivity, and highly customisable quality-of-service (QoS) guarantees\n\t- Current limitations include the complexity of cross-domain orchestration, security challenges, and the need for robust standards\n- Standards and frameworks\n\t- The 3GPP is developing 6G slicing specifications, with a focus on interoperability and security\n\t- The European Telecommunications Standards Institute (ETSI) is also contributing to 6G slicing standards, particularly in the context of cross-border and multi-operator scenarios\n\n## Research & Literature\n\n- Key academic papers and sources\n\t- Uusitalo, M., Chaffer, K., & Ladid, L. (2025). Cross-Layer Security for 5G/6G Network Slices: An SDN, NFV, and AI Perspective. Sensors, 25(11), 3335. https://doi.org/10.3390/s25113335\n\t- Ericsson. (2025). 6G: The Next Generation of Cellular Networks. Ericsson White Paper. https://www.ericsson.com/en/6g\n\t- Pereira, J., & Ladid, L. (2025). Symposium on 6G Communications. IEEE FNWF 2025. https://fnwf2025.ieee.org/symposium-6g-communications\n- Ongoing research directions\n\t- AI-driven orchestration and automation of network slices\n\t- Cross-layer security and privacy for slicing\n\t- Integration of sensing and communication in 6G slicing\n\n## UK Context\n\n- British contributions and implementations\n\t- The UK is a leader in 6G research, with significant government and industry investment in 6G slicing technologies\n\t- The 6GIC at the University of Surrey is a world-renowned centre for 6G research, including slicing\n- North England innovation hubs (if relevant)\n\t- The N5G project is a major initiative in North England, focusing on advanced network slicing for smart cities and industrial applications\n\t- The AMRC in Sheffield is a key player in industrial 6G slicing, with pilots in immersive workloads and digital twinning\n- Regional case studies\n\t- Manchester’s smart city initiatives are leveraging 6G slicing for immersive urban services\n\t- Leeds is exploring slicing for healthcare and remote monitoring applications\n\t- Newcastle’s digital innovation hub is piloting slicing for autonomous mobility and smart transport\n\n## Future Directions\n\n- Emerging trends and developments\n\t- AI-driven, context-aware slicing for dynamic service provisioning\n\t- Integration of sensing and communication in 6G slicing\n\t- Seamless cross-domain and multi-operator slicing\n- Anticipated challenges\n\t- Complexity of cross-domain orchestration\n\t- Security and privacy concerns\n\t- Need for robust standards and interoperability\n- Research priorities\n\t- AI-driven orchestration and automation\n\t- Cross-layer security and privacy\n\t- Integration of sensing and communication\n\n## References\n\n1. Uusitalo, M., Chaffer, K., & Ladid, L. (2025). Cross-Layer Security for 5G/6G Network Slices: An SDN, NFV, and AI Perspective. Sensors, 25(11), 3335. https://doi.org/10.3390/s25113335\n2. Ericsson. (2025). 6G: The Next Generation of Cellular Networks. Ericsson White Paper. https://www.ericsson.com/en/6g\n3. Pereira, J., & Ladid, L. (2025). Symposium on 6G Communications. IEEE FNWF 2025. https://fnwf2025.ieee.org/symposium-6g-communications\n4. 6G Innovation Centre. (2025). 6G Research and Development. University of Surrey. https://www.surrey.ac.uk/6g-innovation-centre\n5. Northern 5G. (2025). Advanced Network Slicing for Smart Cities and Industry. https://www.northern5g.com\n6. Advanced Manufacturing Research Centre. (2025). 6G Slicing for Industrial Applications. https://www.amrc.co.uk\n7. European Telecommunications Standards Institute. (2025). 6G Network Slicing Standards. https://www.etsi.org\n8. 3GPP. (2025). 6G Network Slicing Specifications. https://www.3gpp.org\n\n## Metadata\n\n- **Last Updated**: 2025-11-11\n- **Review Status**: Comprehensive editorial review\n- **Verification**: Academic sources verified\n- **Regional Context**: UK/North England where applicable",
+  "backlinks": [],
+  "wiki_links": [
+    "Dynamic Resource Allocation",
+    "Network Function Virtualization",
+    "QoS Policy",
+    "3GPP Release 21",
+    "Traffic Classifier",
+    "Service Level Agreement",
+    "Low Latency Service",
+    "5G Network Slice",
+    "Workload Isolation",
+    "SDN Controller",
+    "InfrastructureDomain",
+    "Resource Allocation Unit",
+    "6G Network Infrastructure",
+    "Network Slice",
+    "NetworkLayer",
+    "Network Slicing Orchestrator",
+    "Guaranteed Bandwidth",
+    "Virtual Network",
+    "ETSI ENI 008"
+  ],
+  "ontology": {
+    "term_id": "20140",
+    "preferred_term": "6G Network Slice",
+    "alt_terms": [],
+    "iri": "http://narrativegoldmine.com/metaverse#SixGNetworkSlice",
+    "source_domain": null,
+    "domain": "mv",
+    "domain_full_name": "Metaverse",
+    "definition": "Virtual partition of 6G infrastructure guaranteeing specified quality-of-service levels for immersive workloads through isolated resource allocation.",
+    "scope_note": null,
+    "status": null,
+    "maturity": "draft",
+    "version": null,
+    "public_access": true,
+    "last_updated": null,
+    "authority_score": null,
+    "quality_score": null,
+    "cross_domain_links": null,
+    "owl_class": "mv:SixGNetworkSlice",
+    "owl_physicality": "VirtualEntity",
+    "owl_role": "Object",
+    "owl_inferred_class": "mv:VirtualObject",
+    "is_subclass_of": [],
+    "has_part": [
+      "Service Level Agreement",
+      "Resource Allocation Unit",
+      "Traffic Classifier",
+      "QoS Policy"
+    ],
+    "is_part_of": [],
+    "requires": [
+      "6G Network Infrastructure",
+      "Network Slicing Orchestrator",
+      "SDN Controller"
+    ],
+    "depends_on": [],
+    "enables": [
+      "Dynamic Resource Allocation",
+      "Low Latency Service",
+      "Workload Isolation",
+      "Guaranteed Bandwidth"
+    ],
+    "relates_to": [],
+    "bridges_to": [],
+    "bridges_from": [],
+    "domain_extensions": {},
+    "belongs_to_domain": [
+      "InfrastructureDomain"
+    ],
+    "implemented_in_layer": [
+      "NetworkLayer"
+    ],
+    "source": [
+      "3GPP Release 21",
+      "ETSI ENI 008"
+    ],
+    "other_relationships": {
+      "related-to": [
+        "Network Slice",
+        "Virtual Network",
+        "Network Function Virtualization",
+        "5G Network Slice"
+      ]
+    },
+    "validation": {
+      "is_valid": false,
+      "errors": [
+        "Missing required property: source-domain",
+        "Missing required property: status",
+        "Missing required property: last-updated",
+        "Missing required property: is-subclass-of (at least one parent class)",
+        "term-id '20140' doesn't match domain 'mv' (expected MV-)"
+      ]
+    }
+  }
+}

api/pages/pages/3D Scene Exchange Protocol (SXP).json

@@ -0,0 +1,66 @@
+{
+  "id": "ADAS",
+  "title": "ADAS",
+  "content": "- ### OntologyBlock\n  id:: adas-ontology\n  collapsed:: true\n\t- ontology:: true\n\t- term-id:: AI-0348\n\t- preferred-term:: ADAS\n\t- status:: draft\n\t- public-access:: true\n\t- definition:: Advanced Driver Assistance Systems (ADAS) are electronic systems that assist vehicle operators with driving and parking functions through automated technologies including adaptive cruise control, lane keeping assist, automatic emergency braking, blind spot detection, and parking assistance. ADAS represents SAE Level 1-2 automation, providing driver support whilst requiring continuous driver supervision and intervention capability.\n\t- #### Relationships\n\t  id:: adas-relationships\n\t  collapsed:: true\n\t\t- is-subclass-of:: [[Metaverse]]\n\n## OWL Formal Semantics\n\n```clojure\n;; OWL Functional Syntax\n\n(Declaration (Class :Adas))\n\n;; Annotations\n(AnnotationAssertion rdfs:label :Adas \"ADAS\"@en)\n(AnnotationAssertion rdfs:comment :Adas \"Advanced Driver Assistance Systems (ADAS) are electronic systems that assist vehicle operators with driving and parking functions through automated technologies including adaptive cruise control, lane keeping assist, automatic emergency braking, blind spot detection, and parking assistance. ADAS represents SAE Level 1-2 automation, providing driver support whilst requiring continuous driver supervision and intervention capability.\"@en)\n\n;; Taxonomic Relationships\n(SubClassOf :Adas :DriverAssistanceTechnology)\n\n;; Semantic Relationships\n(SubClassOf :Adas\n  (ObjectSomeValuesFrom :relatedTo :SensorFusion))\n(SubClassOf :Adas\n  (ObjectSomeValuesFrom :relatedTo :AutonomousVehicle))\n(SubClassOf :Adas\n  (ObjectSomeValuesFrom :relatedTo :PerceptionSystem))\n\n;; Data Properties\n(AnnotationAssertion dcterms:identifier :Adas \"AI-0348\"^^xsd:string)\n(DataPropertyAssertion :isAITechnology :Adas \"true\"^^xsd:boolean)\n```\n\n## Core Characteristics\n\n- **Driver Assistance**: Augments rather than replaces driver\n- **Safety Features**: Collision avoidance and mitigation\n- **Sensor-Based**: Camera, radar, ultrasonic sensor integration\n- **Incremental Automation**: Specific function automation\n- **Driver Monitoring**: Ensures driver attention and readiness\n\n## Relationships\n\n- **Subclass**: Driver Assistance Technology\n- **Related**: Autonomous Vehicle, Self-Driving Car, Sensor Fusion\n- **Standards**: ISO 26262, Euro NCAP, NHTSA ratings\n\n## Key Literature\n\n1. Bengler, K., et al. (2014). \"Three decades of driver assistance systems: Review and future perspectives.\" *IEEE Intelligent Transportation Systems Magazine*, 6(4), 6-22.\n\n2. SAE International (2021). \"Taxonomy and Definitions for Terms Related to Driving Automation Systems.\" SAE J3016.\n\n## See Also\n\n- [[Autonomous Vehicle]]\n- [[Perception System]]\n- [[Sensor Fusion]]\n\n## Metadata\n\n- **Domain**: Automotive, Driver Assistance\n- **Maturity**: Widely deployed in production vehicles\n\t- maturity:: draft\n\t- owl:class:: mv:ADAS\n\t- owl:physicality:: ConceptualEntity\n\t- owl:role:: Concept\n\t- belongsToDomain:: [[MetaverseDomain]]\n\t- #### Relationships\n\t  id:: adas-relationships\n\t\t- is-subclass-of:: [[Metaverse]]",
+  "backlinks": [],
+  "wiki_links": [
+    "Metaverse",
+    "MetaverseDomain",
+    "Perception System",
+    "Autonomous Vehicle",
+    "Sensor Fusion"
+  ],
+  "ontology": {
+    "term_id": "AI-0348",
+    "preferred_term": "ADAS",
+    "alt_terms": [],
+    "iri": "http://narrativegoldmine.com/metaverse#ADAS",
+    "source_domain": null,
+    "domain": "ai",
+    "domain_full_name": "Artificial Intelligence",
+    "definition": "Advanced Driver Assistance Systems (ADAS) are electronic systems that assist vehicle operators with driving and parking functions through automated technologies including adaptive cruise control, lane keeping assist, automatic emergency braking, blind spot detection, and parking assistance. ADAS represents SAE Level 1-2 automation, providing driver support whilst requiring continuous driver supervision and intervention capability.",
+    "scope_note": null,
+    "status": "draft",
+    "maturity": "draft",
+    "version": null,
+    "public_access": true,
+    "last_updated": null,
+    "authority_score": null,
+    "quality_score": null,
+    "cross_domain_links": null,
+    "owl_class": "mv:ADAS",
+    "owl_physicality": "ConceptualEntity",
+    "owl_role": "Concept",
+    "owl_inferred_class": null,
+    "is_subclass_of": [
+      "Metaverse"
+    ],
+    "has_part": [],
+    "is_part_of": [],
+    "requires": [],
+    "depends_on": [],
+    "enables": [],
+    "relates_to": [],
+    "bridges_to": [],
+    "bridges_from": [],
+    "domain_extensions": {},
+    "belongs_to_domain": [
+      "MetaverseDomain"
+    ],
+    "implemented_in_layer": [],
+    "source": [],
+    "other_relationships": {
+      "belongsToDomain": [
+        "MetaverseDomain"
+      ]
+    },
+    "validation": {
+      "is_valid": false,
+      "errors": [
+        "Missing required property: source-domain",
+        "Missing required property: last-updated",
+        "owl:class namespace 'mv' doesn't match source-domain 'ai'"
+      ]
+    }
+  }
+}