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Detecting Linked Data Quality Issues via Crowdsourcing: A DBpedia Study, , , , , и . Semantic Web Journal, (2016)Web Data Quality: Current State and New Challenges., , и . Int. J. Semantic Web Inf. Syst., 10 (2): 1-6 (2014)A Framework for Reproducible, Interactive Research: Application to health and social sciences, , , , , и . CoRR, (2013)Linked Data for Life Sciences., и . Algorithms, 10 (4): 126 (2017)Publishing and Interlinking the Global Health Observatory Dataset, , , , , и . Semantic Web Journal, Special Call for Linked Dataset descriptions (3): 315-322 (2013)Cleaning by clustering: methodology for addressing data quality issues in biomedical metadata., , , и . BMC Bioinform., 18 (1): 415:1-415:12 (2017)CrowdED: Guideline for Optimal Crowdsourcing Experimental Design., , , и . WWW (Companion Volume), стр. 1109-1116. ACM, (2018)Requirements of the DIACHRON Use Cases, , , , , , , , , и 6 other автор(ы). Deliverable, D1.1. DIACHRON: Managing the Evolution and Preservation of the Data Web, (2013)Quality Assessment for Linked Data, , , , , и . Semantic Web Journal, 7 (1): 63--93 (2016)SIENA: Semi-automatic semantic enhancement of datasets using concept recognition., , , и . J. Biomed. Semant., 12 (1): 5 (2021)