Ontology for Task and Quality Management in Crowdsourcing


  • Reham Alabduljabbar Information Technology Department, King Saud University, Riyadh, Saudi Arabia
  • Hmood Al-Dossari Information Systems Department, King Saud University, Riyadh, Saudi Arabia


Crowdsourcing, Quality control, Task ontology, Ontology engineering, OWL.


This paper suggests an ontology for task and quality control mechanisms representation in crowdsourcing systems. The ontology is built to provide reasoning about tasks and quality control mechanisms to improve tasks and quality management in crowdsourcing. The ontology is formalized in OWL (Web Ontology Language) and implemented using Protégé. The developed ontology consists of 19 classes, 7 object properties, and 32 data properties. The development methodology of the ontology involves three phases including Specification (identifying scope, purpose and competency questions), Conceptualization (data dictionary, UML, and instance creation), and finally Implementation and Evaluation.


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How to Cite

Alabduljabbar, R., & Al-Dossari, H. (2016). Ontology for Task and Quality Management in Crowdsourcing. International Journal of Computer (IJC), 22(1), 90–102. Retrieved from https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/702