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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)CrowdED: Guideline for Optimal Crowdsourcing Experimental Design., , , и . WWW (Companion Volume), стр. 1109-1116. ACM, (2018)Publishing and Interlinking the Global Health Observatory Dataset, , , , , и . Semantic Web Journal, Special Call for Linked Dataset descriptions (3): 315-322 (2013)Quality Assessment for Linked Data, , , , , и . Semantic Web Journal, 7 (1): 63--93 (2016)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)Editorial: Special Issue on Quality Assessment of Knowledge Graphs Dedicated to the Memory of Amrapali Zaveri, , , и . J. Data and Information Quality, 12 (2): 7:1--7:4 (2020)SIENA: Semi-automatic semantic enhancement of datasets using concept recognition., , , и . J. Biomed. Semant., 12 (1): 5 (2021)Knowledge Graph Completeness: A Systematic Literature Review., , , , , и . IEEE Access, (2021)Ontology Mapping for Life Science Linked Data., и . BMDID@ISWC, том 1709 из CEUR Workshop Proceedings, CEUR-WS.org, (2016)