Demonstrators

This use case consits of capturing of all relevant chemical, manufacturing requirements and mechanical properties related to each manufacturing grade.

This use case involves Airbus - a European aerospace corporation- aiming to increase interoperability and improve communication between aircraft assembly and industrial system design.

The core of the use case relies on the semantic technologies by representing domain knowledge both for manufacturing processes and ML pipelines explicitly with ontologies. A reasoner is then able to derive feature groups from the annotated data and selects the suitable ML algorithms. This knowledge-based approach also improves explainability as both the selected features and ML models are explicitly annotated.

The IKEA Knowledge Graph connects and makes data useable across IKEA's services and systems to support digitalization transition.

Siemens created an ontology library that includes ontologies from numerous domains as well as ontology transformations from various industrial standards. Siemens' globally distributed, heterogeneous data sources have been mapped to the ontologies in this library and stored in the data layer.

Basajaun project builds two demo buildings and is supported by a software platform.

The goal of the use case is to develop an architecture model for the On-board Maintenance System of commercial aircraft and design the domain specific ontology for the PHM system.

This use case relates to yard management and seeks to enhance the process of decision-making.

Automatic nutrient solution production is crucial for soilless growing, such as hydroponics. Heterogeneous IoT devices with sensors can monitor the environment and remotely operate a sequence of processes. These devices employ different communication protocols and data structures, causing interoperability issues. To address these issues, an IEEE 1872-based industry 4.0 ontology is being developed.

The use case intended to shorten the amount of time and the quantity/size of trials required to ascertain the behaviour of a substance under certain operating circumstances.

The Materials Design Ontology addresses the heterogeneity of the OPTIMADE consortium's computational materials databases' data models and language enabling semantic and integrated access.

The NanoMECommons project ontologizes characterisation to collect and harmonise any materials characterisation approach. Start with CHADA human-readable metadata and create an EMMO-compliant ontology.