Yannis Marketakis, Angely Buckel, Yannis Tzitzikas
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Jul 2026
The results suggest that OntoExtend is useful as a drafting assistant for requirement-driven ontology extension in real world scenarios, while remaining sensitive to CQ specificity and modelling profile.
Anna Sofia Lippolis, Mohammad Javad Saeedizade, Stefan Schmid et al.
· arXiv.org · 1 citation
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Open access
Aug 2026
The results support the feasibility of ontology-driven generation for static-classification systems, whereas arithmetic risk computation and temporal event processing remain better suited to complementary procedural technologies.
Borivoj Bogdanović, S. Nikolić
· Computers · 0 citations
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Yan Cong, Masao Takaku, Yasuyuki Minamiyama et al.
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Review
The goal of this work is to put into context recent updates in ontology engineering and present the necessary additional information targeted to reuse by providing an updated overview and proposing a two-tier categorisation, believed to be the first review to offer such an intra-category classification.
Davide Di Pierro, L. Abrouk, A. Guyot et al.
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Sulthoni Ashiddiiqi, Fajar J. Ekaputra, M. Zuhri et al.
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