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A Fair Data Market System with Data Quality Evaluation and Repairing Recommendation

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Web Technologies and Applications (APWeb 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9313))

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Abstract

With the development of data market, data resources play a key role as the part of business resources. However, existing data markets are too simple to reveal the real data values in practical application. Motivated by the effectiveness and fairness of the data market, we develop a fair data market system that takes data quality into consideration. In our system, we design a fair data price evaluation mechanism, which aims at meeting the needs of both supply and demand. For the data quality issues in the data market, several critical factors, including accuracy, completeness, consistency, and currency, are integrated in order to show comprehensive assessment of the data. Moreover, our system can also provide data repairing recommendation based on data quality evaluation.

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Correspondence to Xiaoou Ding .

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© 2015 Springer International Publishing Switzerland

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Ding, X., Wang, H., Zhang, D., Li, J., Gao, H. (2015). A Fair Data Market System with Data Quality Evaluation and Repairing Recommendation. In: Cheng, R., Cui, B., Zhang, Z., Cai, R., Xu, J. (eds) Web Technologies and Applications. APWeb 2015. Lecture Notes in Computer Science(), vol 9313. Springer, Cham. https://doi.org/10.1007/978-3-319-25255-1_70

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  • DOI: https://doi.org/10.1007/978-3-319-25255-1_70

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25254-4

  • Online ISBN: 978-3-319-25255-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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