Monkey - Your Physical World, Remembered
Monkey - Your Physical World, Remembered
A living digital memory of your tangible life.
A living digital memory of your tangible life.
01 Overview
01 Overview
Monkey is a system for documenting the physical and embodied anchors of selfhood. Where Compass maps knowledge and memory, Monkey maps identity through what a person wears, carries, maintains, and uses. Tattoos, jewelry, clothing, baggage, tools, shelter, and food — each of these items forms part of a provable, evolving inventory that can be observed, captured, and traded.
Monkey is a system for documenting the physical and embodied anchors of selfhood. Where Compass maps knowledge and memory, Monkey maps identity through what a person wears, carries, maintains, and uses. Tattoos, jewelry, clothing, baggage, tools, shelter, and food — each of these items forms part of a provable, evolving inventory that can be observed, captured, and traded.
The goal is not just to list objects, but to ground selfhood in evidence: photogrammetry captures, time/location anchors, and ownership/possession/use distinctions. Monkey treats a wardrobe or tattoo not as static attributes but as living records of self, which can be maintained, transferred, or left behind.
The goal is not just to list objects, but to ground selfhood in evidence: photogrammetry captures, time/location anchors, and ownership/possession/use distinctions. Monkey treats a wardrobe or tattoo not as static attributes but as living records of self, which can be maintained, transferred, or left behind.
02 Core Idea
02 Core Idea
The core idea of Monkey is to empower you by turning your collection of physical assets into an interconnected personal memory graph. We believe that the objects in your life tell your story. Monkey is designed to map these stories by not only cataloging your items but also understanding the rich web of relationships between them—their history, their purpose, and their connection to people and events.
The core idea of Monkey is to empower you by turning your collection of physical assets into an interconnected personal memory graph. We believe that the objects in your life tell your story. Monkey is designed to map these stories by not only cataloging your items but also understanding the rich web of relationships between them—their history, their purpose, and their connection to people and events.
This transforms a static inventory into an intelligent, evolving memory of your physical world. Our key principle is authenticity: your digital presence is grounded in the reality of your tangible life. This creates a powerful new foundation for trust and meaning in the digital realm.
This transforms a static inventory into an intelligent, evolving memory of your physical world. Our key principle is authenticity: your digital presence is grounded in the reality of your tangible life. This creates a powerful new foundation for trust and meaning in the digital realm.
03 Research background & intellectual lineage
03 Research background & intellectual lineage
Monkey emerges from three main distinctions:
Monkey emerges from three main distinctions:
Owned / Possessed / Used — A jacket may be owned by one person, carried by another, and worn by a third. Monkey formalizes these states and records their transitions.
On-body / In-shelter — Selfhood extends beyond the skin. Tattoos, piercings, and jewelry are permanent or semi-permanent markers; clothing, baggage, and shelter are contextual extensions.
Style as vector — The distribution of a person’s assets forms a “style profile,” which can be compared with others to measure compatibility and ease of partnership.
Owned / Possessed / Used — A jacket may be owned by one person, carried by another, and worn by a third. Monkey formalizes these states and records their transitions.
On-body / In-shelter — Selfhood extends beyond the skin. Tattoos, piercings, and jewelry are permanent or semi-permanent markers; clothing, baggage, and shelter are contextual extensions.
Style as vector — The distribution of a person’s assets forms a “style profile,” which can be compared with others to measure compatibility and ease of partnership.
This framing shifts the inventory from a simple log to a dynamic ontology of selfhood — one that can be proven, scored, and linked into broader systems.
This framing shifts the inventory from a simple log to a dynamic ontology of selfhood — one that can be proven, scored, and linked into broader systems.
04 Process & methodology
04 Process & methodology
The Monkey experience is a simple yet powerful loop that breathes life into your physical assets and builds your personal memory graph.
The Monkey experience is a simple yet powerful loop that breathes life into your physical assets and builds your personal memory graph.
Capture Your World — You begin by populating your memory graph with your physical assets. Our intuitive tools make it easy to add items by scanning them with your phone's camera, linking digital receipts, or connecting with partner retailers. Each item becomes a new "node" in your personal memory.
Capture Your World — You begin by populating your memory graph with your physical assets. Our intuitive tools make it easy to add items by scanning them with your phone's camera, linking digital receipts, or connecting with partner retailers. Each item becomes a new "node" in your personal memory.
Curate Your Identity — Next, you give shape and meaning to your memory graph. You can organize your digital collections, customize your public persona, and—most importantly—draw the memory links that connect your assets to moments, people, and stories. This is where you become the curator of your own life's museum.
Curate Your Identity — Next, you give shape and meaning to your memory graph. You can organize your digital collections, customize your public persona, and—most importantly—draw the memory links that connect your assets to moments, people, and stories. This is where you become the curator of your own life's museum.
Engage with a New Reality — Your living memory graph becomes actionable. Through our open platform, you can engage with a new ecosystem of applications. Imagine sharing the story of a specific asset with a community, using your verified ownership to access exclusive experiences, or seeing your personal history visualized in new and interactive ways.
Engage with a New Reality — Your living memory graph becomes actionable. Through our open platform, you can engage with a new ecosystem of applications. Imagine sharing the story of a specific asset with a community, using your verified ownership to access exclusive experiences, or seeing your personal history visualized in new and interactive ways.
05 UI in practice
05 UI in practice
Inventory
Inventory
The core interface is a wardrobe-like grid of assets: tattoos, jewellery, clothing. Each item has a visual preview and metadata.
The core interface is a wardrobe-like grid of assets: tattoos, jewellery, clothing. Each item has a visual preview and metadata.
My Profile
My Profile
Each user profile includes: Selfhood Snapshot (markers, scenes, anchors logged) Style Profile (derived from their inventory balance) Contribution Stats (scans, locations, requests)
Each user profile includes: Selfhood Snapshot (markers, scenes, anchors logged) Style Profile (derived from their inventory balance) Contribution Stats (scans, locations, requests)
Trading Layer (Base Integration)
Assets can optionally be tagged “Available for Trade.” Tradable items flow into a swipe deck where others can swipe right to show interest, left to pass, or up to initiate trade/mint. This creates a lightweight but scalable market layer without cluttering the core UX.
Trading Layer (Base Integration)
Assets can optionally be tagged “Available for Trade.” Tradable items flow into a swipe deck where others can swipe right to show interest, left to pass, or up to initiate trade/mint. This creates a lightweight but scalable market layer without cluttering the core UX.
06 System architecture
06 System architecture
Monkey’s architecture is founded on principles of security, user control, and intelligent connections, designed specifically to manage physical assets and their relationships.
Monkey’s architecture is founded on principles of security, user control, and intelligent connections, designed specifically to manage physical assets and their relationships.
Data Model
The core of our platform is a Knowledge Graph. Each physical asset you own is represented as a "node." The "links" between these nodes are the memories and relationships—provenance, location, connection to other people, or key life events. This structure allows us to do more than just store a list; it allows us to understand context.
Data Model
The core of our platform is a Knowledge Graph. Each physical asset you own is represented as a "node." The "links" between these nodes are the memories and relationships—provenance, location, connection to other people, or key life events. This structure allows us to do more than just store a list; it allows us to understand context.
Architecture
We are building Monkey with an API-first approach for maximum extensibility. Key modules include a Verification Engine to ensure the authenticity of the physical assets added to your graph and an IoT integration layer to connect your smart devices, making them active nodes in your personal memory graph.
Architecture
We are building Monkey with an API-first approach for maximum extensibility. Key modules include a Verification Engine to ensure the authenticity of the physical assets added to your graph and an IoT integration layer to connect your smart devices, making them active nodes in your personal memory graph.
07 Applications and Roadmap
07 Applications and Roadmap
Monkey is being designed to unlock a new wave of possibilities by connecting your physical assets and memory graph to the digital world.
Monkey is being designed to unlock a new wave of possibilities by connecting your physical assets and memory graph to the digital world.
General Use Cases
A Living Archive: Create a rich, interactive memory of your personal history through the objects you own. Trace the provenance of a family heirloom or remember the story behind a gift.
Intelligent Home Management: View your smart devices as an interconnected part of your home's memory graph, understanding how they work together to shape your environment.
Next-Generation Social: Connect with others based on the shared histories of physical objects—like finding other owners of a vintage car or a rare piece of art.
Verifiable Digital Identity: Use your verified ownership of physical assets as a powerful new form of digital identity and reputation.
General Use Cases
A Living Archive: Create a rich, interactive memory of your personal history through the objects you own. Trace the provenance of a family heirloom or remember the story behind a gift.
Intelligent Home Management: View your smart devices as an interconnected part of your home's memory graph, understanding how they work together to shape your environment.
Next-Generation Social: Connect with others based on the shared histories of physical objects—like finding other owners of a vintage car or a rare piece of art.
Verifiable Digital Identity: Use your verified ownership of physical assets as a powerful new form of digital identity and reputation.
Proposed Pilots and Phased Rollout
Initial Phase (Foundations): Our focus is on building the core platform for capturing physical assets and establishing the memory graph. We'll launch a pilot program with a select group of early adopters to perfect the user experience.
Growth Phase (Expansion & Developer Tools): We will introduce powerful tools for users to curate their memory graph and release our first SDKs and APIs. This will invite developers to build new applications on the Monkey platform. Proposed pilots could include partnerships with smart home device manufacturers or digital fashion platforms.
Ecosystem Phase (Widespread Adoption): We will focus on scaling the network and fostering a rich ecosystem of third-party applications. We will explore decentralized identity solutions to give you even greater control over your personal memory graph. Pilots could involve collaborations with museums to digitize collections or with supply chain partners to track the provenance of goods.
Proposed Pilots and Phased Rollout
Initial Phase (Foundations): Our focus is on building the core platform for capturing physical assets and establishing the memory graph. We'll launch a pilot program with a select group of early adopters to perfect the user experience.
Growth Phase (Expansion & Developer Tools): We will introduce powerful tools for users to curate their memory graph and release our first SDKs and APIs. This will invite developers to build new applications on the Monkey platform. Proposed pilots could include partnerships with smart home device manufacturers or digital fashion platforms.
Ecosystem Phase (Widespread Adoption): We will focus on scaling the network and fostering a rich ecosystem of third-party applications. We will explore decentralized identity solutions to give you even greater control over your personal memory graph. Pilots could involve collaborations with museums to digitize collections or with supply chain partners to track the provenance of goods.
08 Closing Insight
08 Closing Insight
Monkey transforms your collection of physical assets from a static list into a living, intelligent memory graph. It's a new canvas for identity, built on the authentic story told by the objects in your life.
At GRF, we are building Monkey to unlock the vast, untapped meaning hidden within the world around us. It's time to remember your story.
Monkey transforms your collection of physical assets from a static list into a living, intelligent memory graph. It's a new canvas for identity, built on the authentic story told by the objects in your life.
At GRF, we are building Monkey to unlock the vast, untapped meaning hidden within the world around us. It's time to remember your story.
Peer-Reviewed Journal Articles and Conference Papers
× Adler, B., de Alfaro, L., Mola-Velasco, S. M., Novotny, P., & Trovato, V. (2010). Content-driven reputation for collaborative systems. Google. https://research.google/pubs/archive/36757.pdf
× Balog, K., & Kenter, T. (2019). Personal Knowledge Graphs: A Research Agenda. In Proceedings of the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR). ACM.
× Chakraborty, P., & Sanyal, D. K. (2023). A comprehensive survey of personal knowledge graphs. WIREs Data Mining and Knowledge Discovery, 13(6), e1513. https://doi.org/10.1002/widm.1513
× Coskun, A., Kaner, G., & Bostan, I. (2018). Is smart home a necessity or a fantasy for the mainstream user? A study on users’ expectations of smart household appliances. International Journal of Design, 12(1), 7-20.
× de Kerckhove, D. (2021). The personal digital twin, ethical considerations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2206), 20200367. https://doi.org/10.1098/rsta.2020.0367
× De Maeyer, C., & Markopoulos, P. (2020). Are Digital Twins Becoming Our Personal (Predictive) Advisors?: 'Our Digital Mirror of Who We Were, Who We Are and Who We Will Become'. In G. Meiselwitz (Ed.), Human Aspects of IT for the Aged Population. Healthy and Active Aging (pp. 250–268). Lecture Notes in Computer Science, vol 12207. Springer, Cham. https://doi.org/10.1007/978-3-030-50249-2_19
× Elvy, S.-A. (2017). Paying for privacy and the personal data economy. Columbia Law Review, 117(6), 1369–1468.
× Esber, J., & Kominers, S. D. (2021, September 30). A novel framework for reputation-based systems. a16z crypto. https://a16zcrypto.com/posts/article/reputation-based-systems/
× Helen, M., & Verma, A. (2025). Digital Twin: A New Paradigm in The World of Consumer Experience. International Journal of Accounting and Economics Studies, 12(4), 800–809. https://doi.org/10.14419/ijias.v12i4.39516
× Jacquemard, T., Novitzky, P., O'Brolchain, F., Smeaton, A. F., & Gordijn, B. (2014). Challenges and opportunities of lifelog technologies: A literature review and critical analysis. Science and Engineering Ethics, 20(2), 379–409. https://doi.org/10.1007/s11948-013-9456-1
× Jarašūnienė, A., Čižiūnienė, K., & Čereška, A. (2023). Research on Impact of IoT on Warehouse Management. Sensors (Basel), 23(4), 2213. https://doi.org/10.3390/s23042213
× Kim, P. H., & Giunchiglia, F. (2013). Lifelog Data Model and Management: Study on Research Challenges. International Journal of Computer Information Systems and Industrial Management Applications, 5(1), 115–125.
× Lassila, O. (2008). Semantic Web Approach to Personal Information Management on Mobile Devices. In 2008 IEEE International Conference on Semantic Computing (pp. 601-606). IEEE. https://doi.org/10.1109/ICSC.2008.81
× Lassila, O. (2007). Programming Semantic Web Applications: A Synthesis of Knowledge Representation and Semi-Structured Data. TKK-T-178.
× Rossetto, L., Baumgartner, M., Ashena, N., Ruosch, F., Pernischová, R., & Bernstein, A. (2020). LifeGraph: a Knowledge Graph for Lifelogs. In Proceedings of the 2020 Lifelog Search Challenge.
× Sheldon, M. D. (2022). Tracking tangible asset ownership and provenance with blockchain. Current Issues in Auditing, 16(1), A49-A61. https://doi.org/10.2308/CIIA-2020-069
× Skjæveland, M. G., Balog, K., Bernard, N., Łajewska, W., & Linjordet, T. (2024). An ecosystem for personal knowledge graphs: A survey and research roadmap. AI Open, 5, 55-69. https://doi.org/10.1016/j.aiopen.2024.01.003
× Wu, H., Ji, P., Ma, H., & Xing, L. (2023). A Comprehensive Review of Digital Twin from the Perspective of Total Process: Data, Models, Networks and Applications. Sensors (Basel, Switzerland), 23(19), 8306. https://doi.org/10.3390/s23198306
Industry and Market Research Reports
× BCC Research. (2024, September). Global Digital Twin Market. (Report No. ENG033B).
× Deloitte Center for Technology, Media & Telecommunications. (2025, September 25). 2025 Connected Consumer: Innovation with trust. Deloitte Insights. https://www.deloitte.com/us/en/insights/industry/telecommunications/connectivity-mobile-trends-survey.html
× Dock Labs. (2025, September 12). Decentralized Identity: The Ultimate Guide 2025. https://www.dock.io/post/decentralized-identity
× MarketsandMarkets. (2025, July). Digital Twin Market by Technology (IoT, Blockchain, Artificial Intelligence/Machine Learning, Augmented Reality/Virtual Reality, 5G), Type (Process, Product, System), Industry and Region - Global Forecast to 2030. (Report Code SE 5540). https://www.marketsandmarkets.com/Market-Reports/digital-twin-market-225269522.html
× Nesta. (2014, September 25). Personal Information Management Services: An analysis of an emerging market. https://www.nesta.org.uk/report/personal-information-management-services-an-analysis-of-an-emerging-market/
× Research Nester. (2025, September 9). Digital Twin Market Size, Share & Growth Forecast Report 2035. (Report ID: 4226). https://www.researchnester.com/reports/digital-twin-market/4226
Technical Specifications and Standards
× Sporny, M., Thibodeau Jr., T., Herman, I., Cohen, G., & Jones, M. B. (Eds.). (2025, May 15). Verifiable Credentials Data Model v2.0. W3C Recommendation. World Wide Web Consortium. https://www.w3.org/TR/2025/REC-vc-data-model-2.0-20250515/
↳ Ascents- Layer 1
Monkey - Your Physical World, Remembered
A living digital memory of your tangible life.
01 Overview
Monkey is a system for documenting the physical and embodied anchors of selfhood. Where Compass maps knowledge and memory, Monkey maps identity through what a person wears, carries, maintains, and uses. Tattoos, jewelry, clothing, baggage, tools, shelter, and food — each of these items forms part of a provable, evolving inventory that can be observed, captured, and traded.
The goal is not just to list objects, but to ground selfhood in evidence: photogrammetry captures, time/location anchors, and ownership/possession/use distinctions. Monkey treats a wardrobe or tattoo not as static attributes but as living records of self, which can be maintained, transferred, or left behind.
02 Core Idea
The core idea of Monkey is to empower you by turning your collection of physical assets into an interconnected personal memory graph. We believe that the objects in your life tell your story. Monkey is designed to map these stories by not only cataloging your items but also understanding the rich web of relationships between them—their history, their purpose, and their connection to people and events.
This transforms a static inventory into an intelligent, evolving memory of your physical world. Our key principle is authenticity: your digital presence is grounded in the reality of your tangible life. This creates a powerful new foundation for trust and meaning in the digital realm.
03 Research background & intellectual lineage
Monkey emerges from three main distinctions:
Owned / Possessed / Used — A jacket may be owned by one person, carried by another, and worn by a third. Monkey formalizes these states and records their transitions.
On-body / In-shelter — Selfhood extends beyond the skin. Tattoos, piercings, and jewelry are permanent or semi-permanent markers; clothing, baggage, and shelter are contextual extensions.
Style as vector — The distribution of a person’s assets forms a “style profile,” which can be compared with others to measure compatibility and ease of partnership.
This framing shifts the inventory from a simple log to a dynamic ontology of selfhood — one that can be proven, scored, and linked into broader systems.
04 Process & methodology
The Monkey experience is a simple yet powerful loop that breathes life into your physical assets and builds your personal memory graph.
Capture Your World — You begin by populating your memory graph with your physical assets. Our intuitive tools make it easy to add items by scanning them with your phone's camera, linking digital receipts, or connecting with partner retailers. Each item becomes a new "node" in your personal memory.
Curate Your Identity — Next, you give shape and meaning to your memory graph. You can organize your digital collections, customize your public persona, and—most importantly—draw the memory links that connect your assets to moments, people, and stories. This is where you become the curator of your own life's museum.
Engage with a New Reality — Your living memory graph becomes actionable. Through our open platform, you can engage with a new ecosystem of applications. Imagine sharing the story of a specific asset with a community, using your verified ownership to access exclusive experiences, or seeing your personal history visualized in new and interactive ways.
05 UI in practice
Inventory
The core interface is a wardrobe-like grid of assets: tattoos, jewellery, clothing. Each item has a visual preview and metadata.
My Profile
Each user profile includes: Selfhood Snapshot (markers, scenes, anchors logged) Style Profile (derived from their inventory balance) Contribution Stats (scans, locations, requests)
Trading Layer (Base Integration)
Assets can optionally be tagged “Available for Trade.” Tradable items flow into a swipe deck where others can swipe right to show interest, left to pass, or up to initiate trade/mint. This creates a lightweight but scalable market layer without cluttering the core UX.
06 System architecture
Monkey’s architecture is founded on principles of security, user control, and intelligent connections, designed specifically to manage physical assets and their relationships.
Data Model
The core of our platform is a Knowledge Graph. Each physical asset you own is represented as a "node." The "links" between these nodes are the memories and relationships—provenance, location, connection to other people, or key life events. This structure allows us to do more than just store a list; it allows us to understand context.
Architecture
We are building Monkey with an API-first approach for maximum extensibility. Key modules include a Verification Engine to ensure the authenticity of the physical assets added to your graph and an IoT integration layer to connect your smart devices, making them active nodes in your personal memory graph.
07 Applications and Roadmap
Monkey is being designed to unlock a new wave of possibilities by connecting your physical assets and memory graph to the digital world.
General Use Cases
A Living Archive: Create a rich, interactive memory of your personal history through the objects you own. Trace the provenance of a family heirloom or remember the story behind a gift.
Intelligent Home Management: View your smart devices as an interconnected part of your home's memory graph, understanding how they work together to shape your environment.
Next-Generation Social: Connect with others based on the shared histories of physical objects—like finding other owners of a vintage car or a rare piece of art.
Verifiable Digital Identity: Use your verified ownership of physical assets as a powerful new form of digital identity and reputation.
Proposed Pilots and Phased Rollout
Initial Phase (Foundations): Our focus is on building the core platform for capturing physical assets and establishing the memory graph. We'll launch a pilot program with a select group of early adopters to perfect the user experience.
Growth Phase (Expansion & Developer Tools): We will introduce powerful tools for users to curate their memory graph and release our first SDKs and APIs. This will invite developers to build new applications on the Monkey platform. Proposed pilots could include partnerships with smart home device manufacturers or digital fashion platforms.
Ecosystem Phase (Widespread Adoption): We will focus on scaling the network and fostering a rich ecosystem of third-party applications. We will explore decentralized identity solutions to give you even greater control over your personal memory graph. Pilots could involve collaborations with museums to digitize collections or with supply chain partners to track the provenance of goods.
08 Closing Insight
Monkey transforms your collection of physical assets from a static list into a living, intelligent memory graph. It's a new canvas for identity, built on the authentic story told by the objects in your life.
At GRF, we are building Monkey to unlock the vast, untapped meaning hidden within the world around us. It's time to remember your story.
Peer-Reviewed Journal Articles and Conference Papers
× Adler, B., de Alfaro, L., Mola-Velasco, S. M., Novotny, P., & Trovato, V. (2010). Content-driven reputation for collaborative systems. Google. https://research.google/pubs/archive/36757.pdf
× Balog, K., & Kenter, T. (2019). Personal Knowledge Graphs: A Research Agenda. In Proceedings of the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR). ACM.
× Chakraborty, P., & Sanyal, D. K. (2023). A comprehensive survey of personal knowledge graphs. WIREs Data Mining and Knowledge Discovery, 13(6), e1513. https://doi.org/10.1002/widm.1513
× Coskun, A., Kaner, G., & Bostan, I. (2018). Is smart home a necessity or a fantasy for the mainstream user? A study on users’ expectations of smart household appliances. International Journal of Design, 12(1), 7-20.
× de Kerckhove, D. (2021). The personal digital twin, ethical considerations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2206), 20200367. https://doi.org/10.1098/rsta.2020.0367
× De Maeyer, C., & Markopoulos, P. (2020). Are Digital Twins Becoming Our Personal (Predictive) Advisors?: 'Our Digital Mirror of Who We Were, Who We Are and Who We Will Become'. In G. Meiselwitz (Ed.), Human Aspects of IT for the Aged Population. Healthy and Active Aging (pp. 250–268). Lecture Notes in Computer Science, vol 12207. Springer, Cham. https://doi.org/10.1007/978-3-030-50249-2_19
× Elvy, S.-A. (2017). Paying for privacy and the personal data economy. Columbia Law Review, 117(6), 1369–1468.
× Esber, J., & Kominers, S. D. (2021, September 30). A novel framework for reputation-based systems. a16z crypto. https://a16zcrypto.com/posts/article/reputation-based-systems/
× Helen, M., & Verma, A. (2025). Digital Twin: A New Paradigm in The World of Consumer Experience. International Journal of Accounting and Economics Studies, 12(4), 800–809. https://doi.org/10.14419/ijias.v12i4.39516
× Jacquemard, T., Novitzky, P., O'Brolchain, F., Smeaton, A. F., & Gordijn, B. (2014). Challenges and opportunities of lifelog technologies: A literature review and critical analysis. Science and Engineering Ethics, 20(2), 379–409. https://doi.org/10.1007/s11948-013-9456-1
× Jarašūnienė, A., Čižiūnienė, K., & Čereška, A. (2023). Research on Impact of IoT on Warehouse Management. Sensors (Basel), 23(4), 2213. https://doi.org/10.3390/s23042213
× Kim, P. H., & Giunchiglia, F. (2013). Lifelog Data Model and Management: Study on Research Challenges. International Journal of Computer Information Systems and Industrial Management Applications, 5(1), 115–125.
× Lassila, O. (2008). Semantic Web Approach to Personal Information Management on Mobile Devices. In 2008 IEEE International Conference on Semantic Computing (pp. 601-606). IEEE. https://doi.org/10.1109/ICSC.2008.81
× Lassila, O. (2007). Programming Semantic Web Applications: A Synthesis of Knowledge Representation and Semi-Structured Data. TKK-T-178.
× Rossetto, L., Baumgartner, M., Ashena, N., Ruosch, F., Pernischová, R., & Bernstein, A. (2020). LifeGraph: a Knowledge Graph for Lifelogs. In Proceedings of the 2020 Lifelog Search Challenge.
× Sheldon, M. D. (2022). Tracking tangible asset ownership and provenance with blockchain. Current Issues in Auditing, 16(1), A49-A61. https://doi.org/10.2308/CIIA-2020-069
× Skjæveland, M. G., Balog, K., Bernard, N., Łajewska, W., & Linjordet, T. (2024). An ecosystem for personal knowledge graphs: A survey and research roadmap. AI Open, 5, 55-69. https://doi.org/10.1016/j.aiopen.2024.01.003
× Wu, H., Ji, P., Ma, H., & Xing, L. (2023). A Comprehensive Review of Digital Twin from the Perspective of Total Process: Data, Models, Networks and Applications. Sensors (Basel, Switzerland), 23(19), 8306. https://doi.org/10.3390/s23198306
Industry and Market Research Reports
× BCC Research. (2024, September). Global Digital Twin Market. (Report No. ENG033B).
× Deloitte Center for Technology, Media & Telecommunications. (2025, September 25). 2025 Connected Consumer: Innovation with trust. Deloitte Insights. https://www.deloitte.com/us/en/insights/industry/telecommunications/connectivity-mobile-trends-survey.html
× Dock Labs. (2025, September 12). Decentralized Identity: The Ultimate Guide 2025. https://www.dock.io/post/decentralized-identity
× MarketsandMarkets. (2025, July). Digital Twin Market by Technology (IoT, Blockchain, Artificial Intelligence/Machine Learning, Augmented Reality/Virtual Reality, 5G), Type (Process, Product, System), Industry and Region - Global Forecast to 2030. (Report Code SE 5540). https://www.marketsandmarkets.com/Market-Reports/digital-twin-market-225269522.html
× Nesta. (2014, September 25). Personal Information Management Services: An analysis of an emerging market. https://www.nesta.org.uk/report/personal-information-management-services-an-analysis-of-an-emerging-market/
× Research Nester. (2025, September 9). Digital Twin Market Size, Share & Growth Forecast Report 2035. (Report ID: 4226). https://www.researchnester.com/reports/digital-twin-market/4226
Technical Specifications and Standards
× Sporny, M., Thibodeau Jr., T., Herman, I., Cohen, G., & Jones, M. B. (Eds.). (2025, May 15). Verifiable Credentials Data Model v2.0. W3C Recommendation. World Wide Web Consortium. https://www.w3.org/TR/2025/REC-vc-data-model-2.0-20250515/
↳ Ascents- Layer 1