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Detecting Linked Data quality issues via crowdsourcing: A DBpedia study.

, , , , , и . Semantic Web, 9 (3): 303-335 (2018)

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Gerhard Flöck

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Towards a Knowledge Diversity Model, , , и . First International Workshop on Knowledge Diversity on the Web (DiversiWeb 2011), 20th World Wide Web Conference (WWW 2011)., (2011)Characterizing the Global Crowd Workforce: A Cross-Country Comparison of Crowdworker Demographics., , , и . CoRR, (2018)On the Reliability and Validity of Detecting Approval of Political Actors in Tweets., , и . EMNLP (1), стр. 1413-1426. Association for Computational Linguistics, (2020)Identifying, understanding and detecting recurring, harmful behavior patterns in collaborative Wikipedia editing: doctoral proposal.. WWW (Companion Volume), стр. 361-366. International World Wide Web Conferences Steering Committee / ACM, (2013)Whose article is it anyway? – Detecting authorship distribution in Wikipedia articles over time with WIKIGINI, и . Proceedings of the Wikipedia Academy 2012, (2012)TokTrack: A Complete Token Provenance and Change Tracking Dataset for the English Wikipedia., , и . CoRR, (2017)Measuring Motivations of Crowdworkers: The Multidimensional Crowdworker Motivation Scale., , , , , и . ACM Trans. Soc. Comput., 2 (2): 8:1-8:34 (2019)Enhancing answer completeness of SPARQL queries via crowdsourcing., , , и . J. Web Semant., (2017)Characterizing the Global Crowd Workforce: A Cross-Country Comparison of Crowdworker Demographics., , , и . Hum. Comput., (2022)HARE: A Hybrid SPARQL Engine to Enhance Query Answers via Crowdsourcing., , , и . K-CAP, стр. 11:1-11:8. ACM, (2015)