site stats

Crowdsourcing linked data quality assessment

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 https://roschi.net

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

Test-driven Evaluation of Linked Data Quality

Category:Sustainability Free Full-Text Freight Demand and Supply Assessment …

Tags:Crowdsourcing linked data quality assessment

Crowdsourcing linked data quality assessment

Crowdsourcing and the Semantic Web: A Research …

WebDec 27, 2024 · Based on this analysis, we implemented a quality assessment methodology for Linked Data that leverages the wisdom of the crowds in different ways: (i) a contest … WebMar 17, 2015 · Luzzu is a framework for Linked Data Quality Assessment based on an extensible interface for defining new quality metrics, an interoperable, ontology-driven back-end for representing quality metadata and quality problems that can be reused within different semantic frameworks, a scalable stream processor for data dumps and …

Crowdsourcing linked data quality assessment

Did you know?

WebOct 1, 2013 · Crowdsourcing Linked Data Quality Assessment Pages 260–276 ABSTRACT References Cited By Comments ABSTRACT In this paper we look into the use of crowdsourcing as a means to handle Linked Data quality problems that are challenging to be solved automatically. WebGDACSmobile is a mobile-enabled IT solution for the assessment of needs, issues of access, infrastructure damage and other cross-cutting …

WebCrowdsourcing has emerged as a powerful paradigm for qual- ity assessment and improvement of Linked Data. A major challenge of employing crowdsourcing, for quality assessment in Linked Data, is the cold-start problem: how to estimate the reliability of crowd workers and assign the most reliable workers to tasks? WebFeb 1, 2024 · J. Debattista, C. Lange, S. Auer, A preliminary investigation towards improving linked data quality using distance-based outlier detection, in Proceedings of the 6th Joint International Semantic Technology Conference (JIST2016): Revised Selected Papers, Singapore, 2–4 November 2016b. Springer LNCS, vol. 10055 Google Scholar

WebJan 1, 2024 · The task in MAPF is to navigate agents in an undirected graph to given goal vertices so that they do not collide. We rephrase Conflict-Based Search (CBS), one of the state-of-the-art algorithms for... http://svn.aksw.org/papers/2013/ISWC_Crowdsourcing/public.pdf

WebMar 20, 2024 · Task results turn into superior quality when there are combined ideas, skills and participation of people from varied background. This defines the term ‘Crowdsourcing’. Crowd Sourcing is the …

WebAug 25, 2024 · Crowdsourcing for quality of service monitoring involves collecting data as measurements from “data collection devices” on user connections for processing into … gabf past winnersgabf ipa winnersWebOct 21, 2013 · Based on this analysis, we implemented and compared two quality assessment methods for Linked Data that leverage the wisdom of the crowds in different ways: (i) a contest format targeting... gab foods weekly adWebJan 4, 2024 · Specifically, this survey derives a quality model for crowdsourcing tasks, identifies the methods and techniques that can be used to assess the attributes of the … gabf proamWebSep 15, 2024 · The results show that the two styles of crowdsourcing are complementary and that crowdsourcing-enabled quality assessment is a promising and affordable way to enhance the quality of Linked Data. 141 PDF The Challenge of Quality in Social Computation Milan Markovic, P. Edwards Computer Science ACM J. Data Inf. Qual. … gab from longmireWebBased on this analysis, we implemented a qualityassessmentmethodologyforLinkedDatathatleveragesthewisdomofthe crowds in different ways: (i) a contest targeting an expert crowd of researchers and Linked Data enthusiasts; complemented by (ii) paid microtasks published on … gabf resultsWebAn empirical survey of linked data conformance. Web Semantics: Science, Services and Agents on the World Wide Web, 14:14--44, 2012. Google Scholar Digital Library; Dimitris Kontokostas, Amrapali Zaveri, Sören Auer, and Jens Lehmann. Triplecheckmate: A tool for crowdsourcing the quality assessment of linked data. gabf schedule