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Everything about Model-driven interoperability
Model-driven interoperability (MDI) is a methodological framework, which provides a conceptual and technical support to make interoperable enterprises using ontologies and semantic annotations, following model driven development (MDD) principles. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Model-driven interoperabilityA 5-minute orientation
- Skim a recent paper: Model‐driven engineering for simulation models interoperability: A case study in space industryInfluential work since 2022
- Pick up a classic book: Product Lifecycle Management. Towards Knowledge-Rich EnterprisesThe most-reprinted book on the subject
- Read the landmark paper: A model-driven ontology approach for manufacturing system interoperability and knowledge sharingCited 133 times
- Go sideways: INTEROP-VLabA closely related topic
- Go sideways: Enterprise interoperabilityA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
A model-driven ontology approach for manufacturing system interoperability and knowledge sharing
Towards a sustainable interoperability in networked enterprise information systems: Trends of knowledge and model-driven technology
caCORE version 3: Implementation of a model driven, service-oriented architecture for semantic interoperability
Model Driven Interoperability for System Engineering
Data Integration and Interoperability: Towards a Model-Driven and Pattern-Oriented Approach
Model-driven eGovernment interoperability: A review of the state of the art
Semantic issues in model-driven management of information system interoperability
Model-driven interoperability: engineering heterogeneous IoT systems
🆕 Influential since 2022
Model‐driven engineering for simulation models interoperability: A case study in space industry
An ontology-driven approach to target manufacturing digital models’ interoperability in developing digital twins
A Model-Driven Approach for Interoperability Among SaaS and DaaS/DBaaS: The MIDAS Case
Semantic interoperability for digital twin-driven product development: a maturity model approach
HarmonyCAS: A model-driven framework for facilitating interoperability in context-aware systems
📚 Books worth reading
Product Lifecycle Management. Towards Knowledge-Rich EnterprisesLouis Rivest · 2012
Testing Software and SystemsBrian Nielsen · 2012- 📕Managing the web of thingsQuan Z. Sheng, Yongrui Qin · 2017
Semantic TechnologyHideaki Takeda · 2013
Architectural issues of Web-enabled electronic businessNansi Shi · 2002
Proceedings of the First International Workshop on Model-Driven InteroperabilityJean Be zivin · 2010- 📕Seamless care, safe careBernd Blobel, Ebba T. Hvannberg · 2010
Knowledge and technology integration in production and servicesIEEE/IFIP International Conference on Information Technology for Balanced Automation Systems in Manufacturing (5th 2002 Cancun, Mexico) · 2002
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- INTEROP-VLab The INTEROP V-Lab (International Virtual Laboratory for Enterprise Interoperability) is a network of organizations, which links scientists, research centers…
- Enterprise interoperability Enterprise interoperability is the ability of an enterprise—a company or other large organization—to functionally link activities, such as product design…
- Enterprise interoperability framework The enterprise interoperability framework is used as a guideline for collecting and structuring knowledge/solution for enterprise interoperability. The…
- Model-driven architecture Model-driven architecture (MDA) is a software design approach for the development of software systems. It provides a set of guidelines for the structuring…
- Knowledge Discovery Metamodel Knowledge Discovery Metamodel (KDM) is a publicly available specification from the Object Management Group (OMG). KDM is a common intermediate representation…
- Open Semantic Framework The Open Semantic Framework (OSF) is an integrated software stack using semantic technologies for knowledge management. It has a layered architecture that…
- Model-driven engineering Model-driven engineering (MDE) is a software development methodology that focuses on creating and exploiting domain models, which are conceptual models…
- Semantic technology The ultimate goal of semantic technology is to help machines understand data. Well-known technologies that enable the encoding of semantics in data include…