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OntoCommons Roadmap V1

Authors: Adamovic, Nadja; Janotka, Ernst Dieter; Karray, Hedi; Arkopaul Sarkar; Kiritsis, Dimitris; Goldbeck, Gerhard; Magas, Michela; +8 Authors

OntoCommons Roadmap V1

Abstract

Data sharing within and across domains can offer enormous opportunities for innovation and for overcoming various bottlenecks in industry. It can help organisations to achieve the general objectives of both green and digital transition, but also more specifically, to improve resilience and bring safe and sustainable materials and products to market more quickly. However, capitalising on the unprecedented opportunities for innovation based on sharing of common assets requires a structured, systemic approach. Rather than assuming ad-hoc discovery based on a “data-soup”, an Industry Commons ecosystem based on horizontal enablers is needed. This includes an ontologydriven approach which can harmonise data documentation, support data sharing across application domains, and has the potential to stimulate and support sustainable cross-domain industrial innovation. The development, implementation and widespread uptake of an Ontology Commons EcoSystem (OCES) is an important pillar of the Industry Commons ecosystem. In particular, high-level needs for OCES include the following: Effective and meaningful data documentation to enable the harvesting of data resources that are generated by European industry and that are currently not fully exploited. Covering the gap between human and digital tools (Industry 5.0): The need for expressing human knowledge through a widely applicable and general methodology that is both human understandable and at the same time easily processable by digital devices. The need to provide machines with existing knowledge and thus enable the exploitation of the computational power of modern HPC facilities and software. Knowledge-based reasoning as opposed to generic AI processing by formalising the knowledge already available from existing scientific disciplines and to provide knowledge structures that can be used as reference points for the analysis and interpretation of machine data and deep learning AI findings. In this context, the OntoCommons Roadmap considers Needs, State of the Art, Gaps, Definition of Success and Recommended Actions for a number of topics contributing to an Ontology Commons Ecosystem for ontology-based data documentation grouped into: Ontology Foundations: Top Reference, Middle, Domain and Application Levels Integrated Development Environment (Tools) and Infrastructures Industrial Impact including Marketplaces, Standardisation, Education and Human Resources

Keywords

FAIR data, Ontology Commons EcoSystem, FAIR principles, Standardised data documentation, metadata, knowledge-based AI, coordination and support actions, OCES Toolkit, Domain-level Ontology, Top-level ontology, demonstrators on use of ontologies, Industry Commons, Mid-Level Ontology, Top Reference Ontology, ontology, interoperability of data, Knowledge Management Translator, Application-Level Ontology, networking and cooperation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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