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An overview of query processing on crowdsourced databases

Swidan, Marwa and Alwan, Ali Amer and Gulzar, Yonis and Abualkishik, Abedallah Zaid (2020) An overview of query processing on crowdsourced databases. Scientific Journal of King Faisal University. ISSN 1658-0311

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Abstract

Crowd-sourcing is a powerful solution to correctly answer expensive and unanswered queries in the database. This includes queries on a database with uncertain and incomplete data. The crowd-sourcing attempts to exploit human abilities to process these difficult tasks and workers helped to provide accurate results utilizing the available data in the crowd. The crowd-sourcing database systems (CSDB) combined the ability of the crowd with the relational database by using some variant of the relational database with minor changes. This paper surveys and examines the leading studies conducted on the area of query processing for both traditional and preference queries in crowd-sourcing databases. The focus is given on highlights the strengths and the weakness of each approach. A detailed discussion for the current and future trends research relevant to query processing in the area of crow-sourced databases is also demonstrated.

Item Type: Article (Journal)
Additional Information: 7094/82989
Uncontrolled Keywords: Incomplete data model, preferences query, query processing, skyline query, top-k query
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: DR. ALI A. ALWAN AL-JUBOORI
Date Deposited: 15 Sep 2020 11:19
Last Modified: 15 Sep 2020 11:19
URI: http://irep.iium.edu.my/id/eprint/82989

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