A Task Ontology-based Model for Quality Control in Crowdsourcing Systems

Author:

Alabduljabbar Reham1,Al-Dossari Hmood2

Affiliation:

1. Information Technology Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

2. Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

Publisher

ACM

Reference51 articles.

1. R. Buettner "A Systematic Literature Review of Crowdsourcing Research from a Human Resource Management Perspective " in Proceedings of the 48th Hawaii International Conference on System Sciences 2015. 10.1109/HICSS.2015.549 R. Buettner "A Systematic Literature Review of Crowdsourcing Research from a Human Resource Management Perspective " in Proceedings of the 48th Hawaii International Conference on System Sciences 2015. 10.1109/HICSS.2015.549

2. Quality Control in Crowdsourcing Systems: Issues and Directions

3. A crowdsourcing development approach based on a neuro-fuzzy network for creating innovative product concepts

4. M. Franklin D. Kossman T. Kraska S. Ramesh and R. Xin "CrowdDB: answering queries with crowdsourcing " in Proceedings of the 2011 ACM SIGMOD International Conference on Management of data 2011 pp. 61--72. 10.1145/1989323.1989331 M. Franklin D. Kossman T. Kraska S. Ramesh and R. Xin "CrowdDB: answering queries with crowdsourcing " in Proceedings of the 2011 ACM SIGMOD International Conference on Management of data 2011 pp. 61--72. 10.1145/1989323.1989331

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1. Towards Artificial Intelligence Augmenting Facilitation: AI Affordances in Macro-Task Crowdsourcing;Group Decision and Negotiation;2023-01-10

2. An Algorithm of Crowdsourcing Answer Integration Based on Specialty Categories of Workers;Proceedings of the Fifth Euro-China Conference on Intelligent Data Analysis and Applications;2018-12-25

3. Key Crowdsourcing Technologies for Product Design and Development;International Journal of Automation and Computing;2018-09-27

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