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The FFG-funded OBARIS project (Ontology-Based Artificial Intelligence in Environmental Sector) aims to advance the status quo in the area of auditable semantic artificial intelligence systems (SAISs), by investigating both conceptual aspects of these systems as well as a technology stack that facilitates transposing these system types into concrete settings. The project goals will materialize in a number of concrete, innovative results including

(i) a taxonomy of semantic AI systems that will foster the understanding of such system typologies by the research community and industry adopters alike;

(ii) a semantic AI framework offering a technology stack for creating hybrid semantic – machine learning data processing pipelines;

(iii) guidelines, frameworks and a research prototype that enable building and monitoring auditable, transparent and trustworthy SAISs; and

(iv) demonstrators that apply the developed methods and components within two use cases in the environmental domain.

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