Speaker
Description
The confluence of an ever-increasing flow of data in materials science along with the drive in industry towards digitalization is giving rise to unprecedented opportunities as well as challenges. One of the challenges relates to the organization of data and extraction of knowledge from huge amounts of unstructured data. Another challenge relates to achieving semantic interoperability between (a) a variety of physical facilities such as characterization and manufacturing facilities (in the sense of Industry 4.0), and (b) the huge number of physics, computational, and materials models providing a representation of the material world. A viable path to face these challenges is a widely agreed scheme including terminology, classification and relations, in other words, an ontology. To illustrate the core principles and benefits of an ontological description in an intuitive way, an ontology describing processing of a pizza will be demonstrated. This particular example has been selected (i) because classical ontology tutorials often use the pizza analogy to acquaint people with ontologies at all; (ii) because pizza production is a rather complicated process chain reflecting many processes also occurring during industrial production of other goods; (iii) because most people are acquainted with the basic steps of pizza production; and (iv) because the pizza production ontology does not involve intellectual property issues as compared to other industrial use cases and thus can be openly discussed. The presented ontology incorporates several EMMO-compliant ontology modules such as “ManufacturingProcess”, “ProductionSystem”, or “Material” domain ontologies being developed in the EU MarketPlace project [1].
[1] The MarketPlace Project. http://the-marketplace-project.eu
Acknowledgement: The presented work is funded by the MarketPlace project (EU Horizon 2020; grant agreement no 760173).
| Speaker Country | Deutschland |
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