Abstract
The IRAO ontology, as a new contribution to the network of ontologies for the scholarly domain, aims to model the most tangible aspect of research in computing disciplines – the research artifacts. It consists of parts focusing on the concepts of researcher, research artifact classification, research artifact meta information, relationships between artifacts, and research artifact quality evaluation benchmarks that are used to express the quality and maturity of each research artifact. We describe the ontology design requirements using competency questions and the evaluation of the ontology by the same questions that helped in defining the concept domain coverage.
Supported by IGA VŠE project № 56/2021.
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Notes
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We use this concise term as largely interchangeable with ‘computing disciplines’, as discussed, e.g., in the new proposal for ACM/IEEE Computing Curricula, see https://cc2020.nsparc.msstate.edu/wp-content/uploads/2020/11/Computing-Curricula-Report.pdf.
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Nguyen, V.B., Svátek, V. (2021). Ontology for Informatics Research Artifacts. In: Verborgh, R., et al. The Semantic Web: ESWC 2021 Satellite Events. ESWC 2021. Lecture Notes in Computer Science(), vol 12739. Springer, Cham. https://doi.org/10.1007/978-3-030-80418-3_23
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DOI: https://doi.org/10.1007/978-3-030-80418-3_23
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