| Acronym | FALCON |
| Visibility | Public |
| Description | The project FALCON aims to deploy user experiences and user data collected via the Internet of Things (IoT) and social media for the improvement of product-service systems (PSS). Customers play no longer a passive role in the product and service development process as they express their product and service experiences and opinions through social media. In addition, sensor systems in combination with products incorporated in the IoT, are becoming increasingly common. The potential endless amounts of available information offer a rich ground for value creation in the product-service innovation chain. Accordingly, FALCON will develop a Virtual Open Platform to seamlessly connect product-service usage information to design and development processes. The FALCON semantic model consists of an upper ontology and five specific ontologies aligned to its specializations, one for each business scenario. Both the upper ontology and the specific ontologies are elaborated in the following sub-sections, presenting all their classes, object and data properties together with annotations. |
| Status | Production |
| Format | OWL |
| Contact | Sangje Cho, towest84@gmail.com |
| Categories | Mechanical and Industrial Engineering |
| endorsed By | |
| Metadata vocabulary used | local:local |
| Natural Language | |
| Release date | 2017-12-31T00:00:00+00:00 |
| use Imports | local:local |
| version | 1.0.0 |
No views of FALCON available
| Classes | 41 |
| Individuals | 0 |
| Properties | 40 |
| Maximum depth | 2 |
| Maximum number of children | 11 |
| Average number of children | 3 |
| Classes with a single child | 1 |
| Classes with more than 25 children | 0 |
| Classes with no definition | 41 |
We are still collecting data for FALCON
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