Ontologies for Enhancing Digital Twin Compliance with the Gemini Principles

Alapfogalmak

Ontologies can enhance Digital Twins by improving interoperability, data contextualization, and decision-making capabilities to better align with the Gemini Principles of public good, value creation, insight, security, openness, quality, federation, curation, and evolution.

Kivonat

This article presents a systematic literature review to explore how ontologies can support Digital Twins (DTws) in meeting the Gemini Principles, a framework developed by the Centre for Digital Built Britain to guide the development of DTws that can be integrated into a National Digital Twin ecosystem.
The review finds that ontologies can contribute to the Gemini Principles in the following ways:
Purpose Lens:

Public Good: Ontologies can map stakeholder requirements, improve safety modeling, and link sustainability metrics to DTws.
Value Creation: Ontologies can deduce data links, define multiple value metrics, and support automation and optimization in DTws.
Insight: Ontologies can contextualize data and link data across the asset lifecycle to generate deeper insights.

Trust Lens:
4. Security: Ontologies can model security requirements and enforce access control policies for DTws.
5. Openness: Ontologies can enable transparent, machine-readable data models and knowledge sharing between DTws.
6. Quality: Ontologies can define data quality standards and validation rules for DTws.
Function Lens:
7. Federation: Ontologies can facilitate interoperability and integration between heterogeneous DTws.
8. Curation: Ontologies can model ownership, governance, and provenance for DTw data and models.
9. Evolution: Ontologies can enable extensible, adaptable knowledge representation to support the evolution of DTws.
The review also finds that research on ontologies and the Gemini Principles is predominantly focused on the manufacturing and built environment sectors, with fewer applications in other domains. Gaps are identified for further research, policy development, and industry actions to leverage ontologies for enhancing DTw compliance with the Gemini Principles.

Statisztikák

"Ontologies can map and resolve conflicting demands and competing objectives from a wider range of stakeholders."
"Ontologies can further sustainability efforts by processing appropriate metrics to embed sustainability or SDG guidance across the whole asset lifecycle."
"Ontologies can enhance capabilities for asset optimization and automation, and within Cognitive Digital Twins could train machine learning to infer and predict from existing datasets for real-time automated control and decision-making."
"Ontologies can create insight by temporally connecting data across the asset lifecycle, defining component interactions for particular stages, and supporting a Digital Twin for the full asset lifecycle that can learn from past data to improve estimations, decisions and predictions."
"Ontologies can model security requirements and enforce access control policies for Digital Twins."
"Ontologies can enable transparent, machine-readable data models and knowledge sharing between Digital Twins."
"Ontologies can define data quality standards and validation rules for Digital Twins."
"Ontologies can facilitate interoperability and integration between heterogeneous Digital Twins."
"Ontologies can model ownership, governance, and provenance for Digital Twin data and models."
"Ontologies can enable extensible, adaptable knowledge representation to support the evolution of Digital Twins."

Idézetek

"Ontologies can map and resolve conflicting demands and competing objectives from a wider range of stakeholders."
"Ontologies can further sustainability efforts by processing appropriate metrics to embed sustainability or SDG guidance across the whole asset lifecycle."
"Ontologies can enhance capabilities for asset optimization and automation, and within Cognitive Digital Twins could train machine learning to infer and predict from existing datasets for real-time automated control and decision-making."

Főbb Kivonatok

A Systematic Survey of the Gemini Principles for Digital Twin Ontologies

by James Michae... : arxiv.org 04-17-2024

https://arxiv.org/pdf/2404.10754.pdf

Mélyebb kérdések

How can ontologies be leveraged to enable cross-sectoral collaboration and integration between Digital Twins beyond the manufacturing and built environment domains?

Ontologies play a crucial role in facilitating cross-sectoral collaboration and integration between Digital Twins across various domains beyond manufacturing and the built environment. Here are some key ways in which ontologies can be leveraged for this purpose:

Standardized Data Representation: Ontologies provide a common language and structure for representing data, making it easier to integrate and share information across different sectors. By establishing a standardized data representation, ontologies enable seamless communication and interoperability between diverse Digital Twins.

Top-Level Ontologies: Utilizing top-level ontologies can help in integrating sector-specific ontologies into a unified framework. These top-level ontologies serve as a bridge between different domain-specific ontologies, allowing for a more holistic view and understanding of data across sectors.

Semantic Interoperability: Ontologies enable semantic interoperability by defining relationships and meanings between different data elements. This ensures that data from disparate Digital Twins can be understood and utilized in a coherent manner, fostering collaboration and integration across sectors.

Knowledge Sharing and Reuse: Ontologies facilitate knowledge sharing and reuse by capturing domain-specific knowledge in a structured format. This shared knowledge base can be leveraged across sectors to enhance decision-making, problem-solving, and innovation in Digital Twin applications.

Cross-Domain Applications: Ontologies can be applied to create cross-domain Digital Twins that span multiple sectors, such as healthcare, transportation, energy, and more. By incorporating ontological principles, these cross-domain Digital Twins can address complex challenges that require insights and data from diverse fields.

In essence, ontologies serve as a foundational tool for breaking down silos between different sectors and promoting collaboration and integration in the development and deployment of Digital Twins across various domains.

What policy and regulatory frameworks are needed to incentivize the adoption of ontologies for enhancing Digital Twin compliance with the Gemini Principles?

To incentivize the adoption of ontologies for enhancing Digital Twin compliance with the Gemini Principles, the following policy and regulatory frameworks can be considered:

Data Standards and Interoperability Regulations: Implementing regulations that mandate the use of standardized ontologies and data formats can promote interoperability among Digital Twins. This can ensure that data exchange and integration adhere to common standards, aligning with the principles of openness and federation.

Privacy and Security Guidelines: Establishing policies that address data privacy, security, and confidentiality concerns is essential for building trust in Digital Twins. Regulations should outline data protection measures, access controls, and encryption protocols to safeguard sensitive information and ensure compliance with the security principle.

Ontology Governance Frameworks: Developing governance frameworks for ontologies can provide guidelines on ontology development, maintenance, and usage. These frameworks can define roles and responsibilities, data ownership, version control, and quality assurance processes to support the curation and evolution principles of the Gemini Principles.

Incentive Programs: Introducing incentive programs, such as grants, funding opportunities, or tax incentives, can encourage organizations to adopt ontologies in their Digital Twin implementations. These incentives can promote innovation, collaboration, and best practices aligned with the Gemini Principles.

Collaborative Initiatives: Encouraging collaborative initiatives between government agencies, industry stakeholders, and research institutions can foster knowledge sharing, best practices, and capacity building in ontology-driven Digital Twins. Public-private partnerships and industry consortia can drive collective action towards Gemini Principles compliance.

By implementing these policy and regulatory frameworks, stakeholders can be incentivized to adopt ontologies for enhancing Digital Twin compliance with the Gemini Principles, fostering a more transparent, secure, and interoperable digital ecosystem.

How can the development of ontologies be guided to ensure they remain flexible, extensible, and adaptable to support the long-term evolution of Digital Twins and the National Digital Twin ecosystem?

Guiding the development of ontologies to ensure flexibility, extensibility, and adaptability is crucial for supporting the long-term evolution of Digital Twins and the National Digital Twin ecosystem. Here are some strategies to achieve this:

Modular Ontology Design: Adopt a modular ontology design approach that breaks down complex ontologies into smaller, reusable modules. This modular structure allows for easier updates, extensions, and modifications as the Digital Twin ecosystem evolves over time.

Semantic Interoperability Standards: Adhere to semantic interoperability standards such as RDF (Resource Description Framework) and OWL (Web Ontology Language) to ensure that ontologies are compatible with a wide range of systems and applications. This standardization promotes flexibility and interoperability in the National Digital Twin ecosystem.

Version Control and Documentation: Implement robust version control mechanisms for ontologies to track changes, revisions, and updates. Maintaining detailed documentation of ontology changes and evolution ensures transparency and traceability, enabling stakeholders to understand the ontology's history and evolution.

Community Engagement and Feedback: Foster community engagement and collaboration in ontology development by soliciting feedback from domain experts, stakeholders, and end-users. Incorporating diverse perspectives and insights can enhance the ontology's adaptability and relevance to evolving Digital Twin requirements.

Ontology Governance Framework: Establish an ontology governance framework that outlines governance policies, procedures, and best practices for ontology management. This framework should address ontology maintenance, quality assurance, and evolution strategies to ensure long-term sustainability and usability.

Continuous Evaluation and Improvement: Continuously evaluate and improve ontologies based on feedback, usage analytics, and emerging requirements. Regularly assess the ontology's performance, relevance, and alignment with evolving Digital Twin needs to drive continuous improvement and adaptation.

By following these guidelines and best practices, the development of ontologies can be guided to remain flexible, extensible, and adaptable, supporting the long-term evolution and success of Digital Twins and the National Digital Twin ecosystem.