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Augmenting a COVID-19 Research Knowledge Graph with Influential Papers Prediction.

, , и . SEMANTiCS (Posters & Demos), том 3235 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)

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Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph, , , , , и . J. Biomed. Semant., 14 (1): 18 (2023)Ontologies Supporting Research-Related Information Foraging Using Knowledge Graphs: Literature Survey and Holistic Model Mapping., , , и . EKAW, том 12387 из Lecture Notes in Computer Science, стр. 88-103. Springer, (2020)TeKET: a Tree-Based Unsupervised Keyphrase Extraction Technique., , , , и . Cogn. Comput., 12 (4): 811-833 (2020)Ontologies Supporting Research-Related Information Foraging Using Knowledge Graphs: Literature Survey and Holistic Model Mapping, , , и . International Conference on Knowledge Engineering and Knowledge Management, стр. 88--103. Springer, (2020)Multi-class classification of COVID-19 documents using machine learning algorithms., и . J. Intell. Inf. Syst., 60 (2): 571-591 (апреля 2023)OReCaP - Towards Ontology Reuse via Focused Categorization Power., , , и . ISWC (Demos/Industry), том 2721 из CEUR Workshop Proceedings, стр. 295-300. CEUR-WS.org, (2020)Why was this cited? Explainable machine learning applied to COVID-19 research literature., , , , и . Scientometrics, 127 (5): 2313-2349 (2022)Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph., , , , , и . J. Biomed. Semant., 14 (1): 18 (декабря 2023)Augmenting a COVID-19 Research Knowledge Graph with Influential Papers Prediction., , и . SEMANTiCS (Posters & Demos), том 3235 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)A Flexible Keyphrase Extraction Technique for Academic Literature., , , , и . ICCSCI, том 135 из Procedia Computer Science, стр. 553-563. Elsevier, (2018)