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Crowdsourcing Linked Data quality assessment

, , , , , и . 12th International Semantic Web Conference, 21-25 October 2013, Sydney, Australia, стр. 260-276. (2013)

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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)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)CrowdED: Guideline for Optimal Crowdsourcing Experimental Design., , , и . WWW (Companion Volume), стр. 1109-1116. ACM, (2018)SIENA: Semi-automatic semantic enhancement of datasets using concept recognition., , , и . J. Biomed. Semant., 12 (1): 5 (2021)Experience: Automated Prediction of Experimental Metadata from Scientific Publications., , , и . ACM J. Data Inf. Qual., 13 (4): 21:1-21:11 (2021)Editorial: Special Issue on Quality Assessment of Knowledge Graphs Dedicated to the Memory of Amrapali Zaveri., , , и . ACM J. Data Inf. Qual., 12 (2): 7:1-7:4 (2020)