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Broughton, V.: Science and knowledge organization : an editorial (2021)
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Pankowski, T.: Ontological databases with faceted queries (2022)
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Aizawa, A.; Kohlhase, M.: Mathematical information retrieval (2021)
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Collard, J.; Paiva, V. de; Fong, B.; Subrahmanian, E.: Extracting mathematical concepts from text (2022)
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Favato Barcelos, P.P.; Sales, T.P.; Fumagalli, M.; Guizzardi, G.; Valle Sousa, I.; Fonseca, C.M.; Romanenko, E.; Kritz, J.: ¬A FAIR model catalog for ontology-driven conceptual modeling research (2022)
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Guizzardi, G.; Guarino, N.: Semantics, ontology and explanation (2023)
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Gil-Berrozpe, J.C.: Description, categorization, and representation of hyponymy in environmental terminology (2022)
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Baroncini, S.; Sartini, B.; Erp, M. Van; Tomasi, F.; Gangemi, A.: Is dc:subject enough? : A landscape on iconography and iconology statements of knowledge graphs in the semantic web (2023)
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Zhou, H.; Guns, R.; Engels, T.C.E.: Towards indicating interdisciplinarity : characterizing interdisciplinary knowledge flow (2023)
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Bardhan, S.; Dutta, B.: ONCO: an ontology model for MOOC platforms (2022)
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Si, L.; Zhou, J.: Ontology and linked data of Chinese great sites information resources from users' perspective (2022)
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Jiang, Y.-C.; Li, H.: ¬The theoretical basis and basic principles of knowledge network construction in digital library (2023)
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Meng, K.; Ba, Z.; Ma, Y.; Li, G.: ¬A network coupling approach to detecting hierarchical linkages between science and technology (2024)
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Badr, T.; Er-radi, H.; Aammou, S.: Decoding diverse learning needs : the semantic network approach in pedagogy (2024)
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Giacomini, L.: Ontologies and knowledge representation in terminology : present and future perspectives (2024)
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Centelles, M.; Ferran-Ferrer, N.: Taxonomies and ontologies in Wikipedia and Wikidata : an in-depth examination of knowledge organization systems (This article examines Wikipedia's knowledge organization system (KOS) and the broader KOS of Wikidata. We study the structure, functions, and relationship of Wikipedia's KOS to concepts like taxonomies and folksonomies, highlighting its unique characteristics compared to social media. A significant aspect of our examination is the gender-related content classification in the Catalan edition of Wikipedia (Viquipèdia), which notably excludes female categories and non-binary gender classifications. We explore the potential implications of these restrictions on gender bias within the platform. Furthermore, we broaden our investigative methodology to assess the KOS of Wikidata. Wikidata is a dataset built on ontological principles, designed to enhance and enrich Wikipedia's digital, collaborative encyclopedia. The findings shed light on the presence or absence of gender bias and contribute to the ongoing discourse on promoting inclusivity and diversity in online knowledge sharing.)
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Trajanoska, M.; Stojanov, R.; Trajanov, D.: Enhancing knowledge graph construction using Large Language Models (2023)
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Khorashadizadeh, H.; Amara, F.Z.; Ezzabady, M.; Ieng, F.; Tiwari, S.; Mihindukulasooriya, N.; Groppe, J.; Sahri, S.; Benamara, F.; Groppe, S.: Research trends for the interplay between Large Language Models and Knowledge Graphs (2024)
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Kau, A.; He, X.; Nambissan, A.; Astudillo, A.; Yin, H.; Aryani, A.: Combining graphs and Large Language Models (2024)
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Yang, L.; Chen, H.; Li, Z.; Ding, X.; Wu, X.: Give us the facts : enhancing Large Language Models with knowledge graphs for fact-aware language modeling (2024)
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