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A fair data market system with data quality evaluation and repairing recommendation

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationWeb Technologies and Applications - 17th Asia-PacificWeb Conference,APWeb 2015, Proceedings
EditorsReynold Cheng, Bin Cui, Zhenjie Zhang, Ruichu Cai, Jia Xu
PublisherSpringer Verlag
Pages855-858
Number of pages4
ISBN (Print)9783319252544
DOIs
StatePublished - 2015
Event17th Asia-PacificWeb Conference, APWeb 2015 - Guangzhou, China
Duration: 18 Sep 201520 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9313
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th Asia-PacificWeb Conference, APWeb 2015
Country/TerritoryChina
CityGuangzhou
Period18/09/1520/09/15

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