WebCrowdsourcing has emerged as a powerful paradigm for quality assessment and improvement of Linked Data. A major challenge of employing crowdsourcing, for … WebMay 23, 2024 · Conclusions & Outlook • Crowdsourcing is a feasible solution for KG quality processing. • KG correctness: The crowd performs best in verification tasks (confirming incorrect facts). • KG completeness: The precision of the crowd answer varies within a knowledge domains in DBpedia.
Crowdsourcing Linked Data Quality Assessment - VideoLectures.NET
WebKeywords: data quality, Linked Data, assessment, survey 1. Introduction The development and standardization of Seman- ... as shown in [65], since data is ex-tracted via crowdsourcing of a semi-structured source. It should be noted that even the traditional, document-oriented Web has content of varying quality but is still http://www.semantic-web-journal.net/system/files/swj773.pdf gab formations
Crowdsourcing techniques in quality of service assessment
WebJul 9, 2024 · GNSS receiver data crowdsourcing is of interest for multiple applications, e.g., weather monitoring. The bottleneck in this technology is the quality of the GNSS receivers. Therefore, we lay out in an introductory manner the steps to estimate the performance of an arbitrary GNSS receiver via the measurement errors related to its … WebApr 12, 2024 · ‘Fixing Intel’ would also indirectly help kickstart an industry of open-source intelligence contractors, demanding that: “[Analysts] must embrace open-source, population-centric information as the lifeblood of their analytical work…The Cold War notion that open-source information is “second class” is a dangerous, outmoded cliché….“Ninety percent … WebOct 19, 2014 · Crowdsourcing Linked Data Quality Assessment. Maribel Acosta, A. Zaveri, E. Simperl, D. Kontokostas, S. Auer, Jens Lehmann; Computer Science. SEM. 2013; TLDR. The results show that the two styles of crowdsourcing are complementary and that crowdsourcing-enabled quality assessment is a promising and affordable … gabf registration