In the industrial domain, Procedural Knowledge (PK) refers to structured processes to be followed, e.g., on the production line of a plant. Oftentimes, such knowledge is not explicitly documented, or, when documented, the only digital source of PK is in an unstructured format, thus it is difficult to access, retrieve and exploit. In this keynote, we present challenges from the use cases of the PERKS project and discuss how Knowledge Graphs can be leveraged to address them. Relying on the definition of common semantics via an ontology, we describe different solutions for KGs to effectively support the holistic governance of industrial PK in its entire life cycle, from elicitation to management, from access to exploitation. Of course, we do not forget about AI, and we discuss its role with particular attention to the need to involve humans in the loop.
Agenda
Schedule
Arrival and Coffee
08:30 – 09:0
Keynote by Mario Scrocca (Cefriel, Italy) and Umutcan Serles (STI Innsbruck, Austria) – See keynote abstract
09:00 – 10:00
Coffee Break
10:00 – 10:30
Visitor Presentations
10:00 – 12:30
- MSCR and RDF Mapping Generation: Managing Crosswalks for OpenAlex – Tobias Schweizer (Switch, Switzerland) and Joonas Kesäniemi (FC4e)
- CANDIL: A Story of Semantics and Data Infrastructures – Ignacio Dominguez Martinez-Casanueva (Telefónica , Spain)
- Model-driven data integration – Pano Maria (ModelDesk, The Netherlands)
- I want a KG-based Digital Twin, and that’s all I (want to) know: From Technology Readiness Level 4 to above with Knowledge Engineering & Data Model Ops? – Lionel Tailhardat (Orange, France)