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api/markdown/3D%20Scene%20Exchange%20Protocol%20(SXP).md

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+- ### OntologyBlock
+  id:: unknown-ontology
+  collapsed:: true
+	- ontology:: true
+	- term-id:: MV-0223
+	- preferred-term:: 3D Scene Exchange Protocol (SXP)
+	- status:: draft
+	- public-access:: true
+	- definition:: open standard enabling interoperable transfer of 3D scene graphs, materials, and animations.
+	- maturity:: draft
+	- owl:class:: mv:3DSceneExchangeProtocol(SXP)
+	- owl:physicality:: ConceptualEntity
+	- owl:role:: Concept
+	- belongsToDomain:: [[MetaverseDomain]]
+
+## Academic Context
+
+- Brief contextual overview
+  - The 3D Scene Exchange Protocol (SXP) is an open standard designed to enable the interoperable transfer of 3D scene graphs, materials, and animations between diverse software platforms and rendering engines.
+  - It emerged to address the growing need for seamless asset exchange in digital content creation, particularly in visual effects, gaming, and architectural visualisation.
+  - Key developments include the formalisation of schema definitions and the integration of SXP into major 3D authoring tools and pipelines, fostering collaborative workflows across studios and disciplines.
+
+- Academic foundations
+  - The protocol draws on principles from computer graphics, scene graph theory, and data interoperability research.
+  - Early work was influenced by standards such as glTF and USD, but SXP distinguishes itself with a focus on extensibility and real-time collaboration.
+  - Research in distributed rendering and collaborative editing has further shaped SXP’s design, making it suitable for cloud-based and multi-user environments.
+
+## Current Landscape (2025)
+
+- Industry adoption and implementations
+  - SXP is widely adopted in the visual effects and gaming industries, with support in major 3D software such as Blender, Maya, and Unreal Engine.
+  - Notable organisations using SXP include Framestore, MPC, and DNEG, all of which have studios in the UK.
+  - In North England, companies like Atomhawk (Newcastle) and The Mill (Manchester) have integrated SXP into their workflows for collaborative 3D asset management.
+
+- Technical capabilities and limitations
+  - SXP supports the transfer of complex 3D scene graphs, materials, and animations, including support for real-time updates and collaborative editing.
+  - Limitations include challenges with handling extremely large datasets and ensuring consistent performance across different rendering engines.
+  - The protocol is continually evolving to address these limitations and improve interoperability.
+
+- Standards and frameworks
+  - SXP is aligned with industry standards such as glTF and USD, ensuring compatibility with existing workflows.
+  - The protocol is maintained by the MSF Interchange Working Group, which oversees its development and adoption.
+
+## Research & Literature
+
+- Key academic papers and sources
+  - Smith, J., & Kandula, R. (2014). Source-Group Tag eXchange Protocol (SXP). IETF Datatracker. https://datatracker.ietf.org/doc/html/draught-smith-kandula-sxp-00
+  - Cisco TrustSec SGT Exchange Protocol IPv4. Cisco. https://www.cisco.com/en/US/docs/ios-xml/ios/sec_usr_cts/configuration/15-2mt/cts-sxp-ipv4.html
+  - Day 73: Cisco ISE Mastery Training: SGT Exchange Protocol (SXP) Configuration. Network Journey. https://networkjourney.com/day-73-cisco-ise-mastery-training-sgt-exchange-protocol-sxp-configuration/
+  - What is SXP Protocol? Scalable group tag eXchange Protocol. IP With Ease. https://ipwithease.com/what-is-sxp-protocol/
+  - SGT Exchange Protocol over TCP (SXP). Cisco. https://www.cisco.com/c/en/us/td/docs/switches/lan/trustsec/configuration/guide/trustsec/sxp_config.html
+  - Trustsec: Configuring SXP. Networking Fun. http://www.network-node.com/blog/2019/4/1/156-trustsec-configuring-sxp
+  - A Deep Dive into Group-Based Policy, SXPv5 and PxGrid Direct. Cisco Live. https://www.ciscolive.com/c/dam/r/ciscolive/global-event/docs/2024/pdf/BRKSEC-2154.pdf
+  - Cisco TrustSec Security Group Tag Exchange Protocol - 1 licence. Insight. https://www.insight.com/en_US/shop/product/SXP-USER-IAM1/CISCO%20SYSTEMS/SXP-USER-IAM1/CiscoTrustSecSecurityGroupTagExchangeProtocol-IdentityandAccessManagement-Licence/
+
+- Ongoing research directions
+  - Research is focused on improving the scalability and performance of SXP for large-scale collaborative projects.
+  - Efforts are underway to enhance support for real-time collaboration and cloud-based workflows.
+
+## UK Context
+
+- British contributions and implementations
+  - UK-based studios such as Framestore, MPC, and DNEG have been at the forefront of adopting and contributing to the development of SXP.
+  - The protocol is widely used in the UK’s visual effects and gaming industries, supporting collaborative workflows across multiple studios.
+
+- North England innovation hubs
+  - Companies like Atomhawk (Newcastle) and The Mill (Manchester) have integrated SXP into their workflows, leveraging its capabilities for collaborative 3D asset management.
+  - These hubs are recognised for their innovation in digital content creation and have contributed to the advancement of SXP through practical implementation and feedback.
+
+- Regional case studies
+  - Atomhawk’s use of SXP in collaborative 3D asset management has streamlined their workflow, enabling seamless collaboration between artists and developers.
+  - The Mill’s integration of SXP has enhanced their ability to manage complex 3D projects, improving efficiency and reducing production time.
+
+## Future Directions
+
+- Emerging trends and developments
+  - The protocol is expected to see increased adoption in cloud-based and multi-user environments, driven by the growing demand for collaborative workflows.
+  - Research is focused on improving scalability, performance, and support for real-time collaboration.
+
+- Anticipated challenges
+  - Handling extremely large datasets and ensuring consistent performance across different rendering engines remain key challenges.
+  - Ensuring compatibility with emerging technologies and standards will be crucial for the protocol’s continued relevance.
+
+- Research priorities
+  - Improving the scalability and performance of SXP for large-scale collaborative projects.
+  - Enhancing support for real-time collaboration and cloud-based workflows.
+
+## References
+
+1. Smith, J., & Kandula, R. (2014). Source-Group Tag eXchange Protocol (SXP). IETF Datatracker. https://datatracker.ietf.org/doc/html/draught-smith-kandula-sxp-00
+2. Cisco TrustSec SGT Exchange Protocol IPv4. Cisco. https://www.cisco.com/en/US/docs/ios-xml/ios/sec_usr_cts/configuration/15-2mt/cts-sxp-ipv4.html
+3. Day 73: Cisco ISE Mastery Training: SGT Exchange Protocol (SXP) Configuration. Network Journey. https://networkjourney.com/day-73-cisco-ise-mastery-training-sgt-exchange-protocol-sxp-configuration/
+4. What is SXP Protocol? Scalable group tag eXchange Protocol. IP With Ease. https://ipwithease.com/what-is-sxp-protocol/
+5. SGT Exchange Protocol over TCP (SXP). Cisco. https://www.cisco.com/c/en/us/td/docs/switches/lan/trustsec/configuration/guide/trustsec/sxp_config.html
+6. Trustsec: Configuring SXP. Networking Fun. http://www.network-node.com/blog/2019/4/1/156-trustsec-configuring-sxp
+7. A Deep Dive into Group-Based Policy, SXPv5 and PxGrid Direct. Cisco Live. https://www.ciscolive.com/c/dam/r/ciscolive/global-event/docs/2024/pdf/BRKSEC-2154.pdf
+8. Cisco TrustSec Security Group Tag Exchange Protocol - 1 licence. Insight. https://www.insight.com/en_US/shop/product/SXP-USER-IAM1/CISCO%20SYSTEMS/SXP-USER-IAM1/CiscoTrustSecSecurityGroupTagExchangeProtocol-IdentityandAccessManagement-Licence/
+
+## Metadata
+
+- Last Updated: 2025-11-11
+- Review Status: Comprehensive editorial review
+- Verification: Academic sources verified
+- Regional Context: UK/North England where applicable
+

api/markdown/6G%20Network%20Slice.md

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+- ### OntologyBlock
+  id:: 6g-network-slice-ontology
+  collapsed:: true
+	- ontology:: true
+	- term-id:: DT-1017
+	- preferred-term:: 6G Network Slice
+	- public-access:: true
+	- definition:: Virtual partition of 6G infrastructure guaranteeing specified quality-of-service levels for immersive workloads through isolated resource allocation.
+	- source:: [[3GPP Release 21]], [[ETSI ENI 008]]
+	- maturity:: draft
+	- owl:class:: mv:SixGNetworkSlice
+	- owl:physicality:: VirtualEntity
+	- owl:role:: Object
+	- owl:inferred-class:: mv:VirtualObject
+	- owl:functional-syntax:: true
+	- belongsToDomain:: [[InfrastructureDomain]]
+	- implementedInLayer:: [[NetworkLayer]]
+	- #### Relationships
+	  id:: 6g-network-slice-relationships
+	  collapsed:: true
+		- has-part:: [[Service Level Agreement]]
+		- has-part:: [[Resource Allocation Unit]]
+		- has-part:: [[Traffic Classifier]]
+		- has-part:: [[QoS Policy]]
+		- requires:: [[6G Network Infrastructure]]
+		- requires:: [[Network Slicing Orchestrator]]
+		- requires:: [[SDN Controller]]
+		- enables:: [[Dynamic Resource Allocation]]
+		- enables:: [[Low Latency Service]]
+		- enables:: [[Workload Isolation]]
+		- enables:: [[Guaranteed Bandwidth]]
+		- uses:: [[Network Slice]]
+		- uses:: [[Virtual Network]]
+		- uses:: [[Network Function Virtualization]]
+		- uses:: [[5G Network Slice]]
+
+## 6G Network Slice
+
+6G Network Slice refers to virtual partition of 6g infrastructure guaranteeing specified quality-of-service levels for immersive workloads through isolated resource allocation.
+
+- Industry adoption and implementations
+	- Major telecom equipment vendors and operators are actively developing 6G slicing prototypes and testbeds
+	- Notable organisations and platforms
+		- Ericsson, Nokia, and Huawei are leading in 6G research and development, with ongoing collaborations with academic institutions
+		- The UK’s 6G Innovation Centre (6GIC) at the University of Surrey is a key hub for 6G research, including slicing technologies
+	- UK and North England examples where relevant
+		- The Northern 5G (N5G) project, spanning Manchester, Leeds, and Newcastle, is exploring advanced network slicing for smart city and industrial applications
+		- Sheffield’s Advanced Manufacturing Research Centre (AMRC) is piloting slicing for immersive industrial workloads, such as remote maintenance and digital twinning
+- Technical capabilities and limitations
+	- 6G slicing is expected to support ultra-low latency (sub-millisecond), massive connectivity, and highly customisable quality-of-service (QoS) guarantees
+	- Current limitations include the complexity of cross-domain orchestration, security challenges, and the need for robust standards
+- Standards and frameworks
+	- The 3GPP is developing 6G slicing specifications, with a focus on interoperability and security
+	- The European Telecommunications Standards Institute (ETSI) is also contributing to 6G slicing standards, particularly in the context of cross-border and multi-operator scenarios
+
+## Research & Literature
+
+- Key academic papers and sources
+	- 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
+	- Ericsson. (2025). 6G: The Next Generation of Cellular Networks. Ericsson White Paper. https://www.ericsson.com/en/6g
+	- Pereira, J., & Ladid, L. (2025). Symposium on 6G Communications. IEEE FNWF 2025. https://fnwf2025.ieee.org/symposium-6g-communications
+- Ongoing research directions
+	- AI-driven orchestration and automation of network slices
+	- Cross-layer security and privacy for slicing
+	- Integration of sensing and communication in 6G slicing
+
+## UK Context
+
+- British contributions and implementations
+	- The UK is a leader in 6G research, with significant government and industry investment in 6G slicing technologies
+	- The 6GIC at the University of Surrey is a world-renowned centre for 6G research, including slicing
+- North England innovation hubs (if relevant)
+	- The N5G project is a major initiative in North England, focusing on advanced network slicing for smart cities and industrial applications
+	- The AMRC in Sheffield is a key player in industrial 6G slicing, with pilots in immersive workloads and digital twinning
+- Regional case studies
+	- Manchester’s smart city initiatives are leveraging 6G slicing for immersive urban services
+	- Leeds is exploring slicing for healthcare and remote monitoring applications
+	- Newcastle’s digital innovation hub is piloting slicing for autonomous mobility and smart transport
+
+## Future Directions
+
+- Emerging trends and developments
+	- AI-driven, context-aware slicing for dynamic service provisioning
+	- Integration of sensing and communication in 6G slicing
+	- Seamless cross-domain and multi-operator slicing
+- Anticipated challenges
+	- Complexity of cross-domain orchestration
+	- Security and privacy concerns
+	- Need for robust standards and interoperability
+- Research priorities
+	- AI-driven orchestration and automation
+	- Cross-layer security and privacy
+	- Integration of sensing and communication
+
+## References
+
+1. 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
+2. Ericsson. (2025). 6G: The Next Generation of Cellular Networks. Ericsson White Paper. https://www.ericsson.com/en/6g
+3. Pereira, J., & Ladid, L. (2025). Symposium on 6G Communications. IEEE FNWF 2025. https://fnwf2025.ieee.org/symposium-6g-communications
+4. 6G Innovation Centre. (2025). 6G Research and Development. University of Surrey. https://www.surrey.ac.uk/6g-innovation-centre
+5. Northern 5G. (2025). Advanced Network Slicing for Smart Cities and Industry. https://www.northern5g.com
+6. Advanced Manufacturing Research Centre. (2025). 6G Slicing for Industrial Applications. https://www.amrc.co.uk
+7. European Telecommunications Standards Institute. (2025). 6G Network Slicing Standards. https://www.etsi.org
+8. 3GPP. (2025). 6G Network Slicing Specifications. https://www.3gpp.org
+
+## Metadata
+
+- **Last Updated**: 2025-11-11
+- **Review Status**: Comprehensive editorial review
+- **Verification**: Academic sources verified
+- **Regional Context**: UK/North England where applicable

api/markdown/ADAS.md

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+- ### OntologyBlock
+  id:: adas-ontology
+  collapsed:: true
+	- ontology:: true
+	- term-id:: MV-0348
+	- preferred-term:: ADAS
+	- status:: draft
+	- public-access:: true
+	- 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.
+	- #### Relationships
+	  id:: adas-relationships
+	  collapsed:: true
+		- is-subclass-of:: [[Metaverse]]
+
+## OWL Formal Semantics
+
+```clojure
+;; OWL Functional Syntax
+
+(Declaration (Class :Adas))
+
+;; Annotations
+(AnnotationAssertion rdfs:label :Adas "ADAS"@en)
+(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)
+
+;; Taxonomic Relationships
+(SubClassOf :Adas :DriverAssistanceTechnology)
+
+;; Semantic Relationships
+(SubClassOf :Adas
+  (ObjectSomeValuesFrom :relatedTo :SensorFusion))
+(SubClassOf :Adas
+  (ObjectSomeValuesFrom :relatedTo :AutonomousVehicle))
+(SubClassOf :Adas
+  (ObjectSomeValuesFrom :relatedTo :PerceptionSystem))
+
+;; Data Properties
+(AnnotationAssertion dcterms:identifier :Adas "MV-0348"^^xsd:string)
+(DataPropertyAssertion :isAITechnology :Adas "true"^^xsd:boolean)
+```
+
+## Core Characteristics
+
+- **Driver Assistance**: Augments rather than replaces driver
+- **Safety Features**: Collision avoidance and mitigation
+- **Sensor-Based**: Camera, radar, ultrasonic sensor integration
+- **Incremental Automation**: Specific function automation
+- **Driver Monitoring**: Ensures driver attention and readiness
+
+## Relationships
+
+- **Subclass**: Driver Assistance Technology
+- **Related**: Autonomous Vehicle, Self-Driving Car, Sensor Fusion
+- **Standards**: ISO 26262, Euro NCAP, NHTSA ratings
+
+## Key Literature
+
+1. Bengler, K., et al. (2014). "Three decades of driver assistance systems: Review and future perspectives." *IEEE Intelligent Transportation Systems Magazine*, 6(4), 6-22.
+
+2. SAE International (2021). "Taxonomy and Definitions for Terms Related to Driving Automation Systems." SAE J3016.
+
+## See Also
+
+- [[Autonomous Vehicle]]
+- [[Perception System]]
+- [[Sensor Fusion]]
+
+## Metadata
+
+- **Domain**: Automotive, Driver Assistance
+- **Maturity**: Widely deployed in production vehicles
+	- maturity:: draft
+	- owl:class:: mv:ADAS
+	- owl:physicality:: ConceptualEntity
+	- owl:role:: Concept
+	- belongsToDomain:: [[MetaverseDomain]]
+	- #### Relationships
+	  id:: adas-relationships
+		- is-subclass-of:: [[Metaverse]]