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- W2607738928 abstract "Development of new materials, products and technologies with the ICME approach requires challenging computations, controlled by optimization algorithms. A computational time might be decreased with a “knowledge-driven optimization”—an optimization process is controlled not only by a numerical algorithm, but also by a Knowledge Based System. That requires development of a common language, able to cover communication between numerical models without sophisticated translators. There are several formalisms of knowledge representation, but the most common ones are based on First Order Logic (FOL) and Description Logic (DL). None of them meets all the requirements of knowledge management in ICME processes. We present an approach to development of an environment for knowledge management, combining DL and FOL. An exemplary multiscale problem is described, as well as an OWL2 based ontology and rules controlling an optimization process." @default.
- W2607738928 created "2017-05-05" @default.
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- W2607738928 date "2017-01-01" @default.
- W2607738928 modified "2023-09-25" @default.
- W2607738928 title "Ontology Dedicated to Knowledge-Driven Optimization for ICME Approach" @default.
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- W2607738928 doi "https://doi.org/10.1007/978-3-319-57864-4_11" @default.
- W2607738928 hasPublicationYear "2017" @default.
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