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@article{143797,
        author = {Nilesh Nivrutti Thorat and A. B. Rajmane},
        title = {Review  Paper for Query Optimization for Declarative Crowdsourcing System},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {2},
        pages = {32-36},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143797},
        abstract = {Main goal of declarative crowdsourcing system is to keep out of sight  the complexities of the system. In crowdsourcing system data is placed at different  web or data servers therefore optimization of query has major challenge. To address some queries we need to add more information to that queries that machines cannot solve. SQL query is being submitted by user which is being optimized on cost constraint depending on which execution  plan  is created, output is produced. The proposed system can be used for  answering declarative queries posed over stored relational data together with data obtained on demand from the crowd. The proposed system  is based on cost-based query optimization for crowdsourcing system, which also consider the latency that generates  best possible and suitable query execution plan. It supports three types of query evaluation: select, join, complex-join, having  three algorithm for each operation respectively.},
        keywords = {Crowdsourcing, query optimization, human intelligence tasks (HIT), Monetary cost.},
        month = {},
        }