A Provenance-Aware Data Quality Assessment System

被引：0
|
作者：
Zheng, Hua [1 ]
Wu, Kewen [2 ]
Meng, Fei [3 ]
机构：
[1] Nanjing Univ, Sch Management & Engn, Nanning 530003, Guang Xi, Peoples R China
[2] Guangxi Univ Finance & Econ, Dept Comp & Informat Management, Nanning 530003, Guang Xi, Peoples R China
[3] Nanjing Univ, Dept Informat & Management, Nanjing 210093, Jiangsu, Peoples R China
来源：
COMPUTER SCIENCE FOR ENVIRONMENTAL ENGINEERING AND ECOINFORMATICS, PT 2 | 2011年 / 159卷
关键词：
Data quality management; Data quality assessment; Provenance; SOA;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The data quality assessment (DQA) process has the lack of sufficient attention on enterprise infomationization, and existing technologies and methods have their limitations. In order to solve data quality(DQ) problems from the source and realize the traceability of data, after research on data provenance technology and determining the idea of achieving the way data can be traced, the framework of data quality assessment based on data provenance and SOA is presented. Then the logical architecture is described, simultaneously core technology are focus to analyze. Finally, specific application is discussed and the direction of further work is given.
引用
收藏
页码：265 / +
页数：2
相关论文
共 50 条
  • [1] QUAL: A Provenance-Aware Quality Model
    Baillie, Chris
    Edwards, Peter
    Pignotti, Edoardo
    ACM JOURNAL OF DATA AND INFORMATION QUALITY, 2015, 5 (03): : 12
  • [2] Provenance management for data quality assessment
    Zheng, Hua
    Zhu, Qinghua
    Wu, Kewen
    Journal of Software, 2012, 7 (08) : 1905 - 1910
  • [3] A Demspter-Shafer approach to provenance-aware trust assessment
    Yu, Bin
    Kallurkar, Srikanth
    Flo, Robert
    PROCEEDINGS OF THE 2008 INTERNATIONAL SYMPOSIUM ON COLLABORATIVE TECHNOLOGIES AND SYSTEMS: CTS 2008, 2008, : 383 - 390
  • [4] Decentralized provenance-aware publishing with nanopublications
    Kuhn, Tobias
    Chichester, Christine
    Krauthammer, Michael
    Queralt-Rosinach, Nuria
    Verborgh, Ruben
    Giannakopoulos, George
    Ngomo, Axel-Cyrille Ngonga
    Viglianti, Raffaele
    Dumontier, Michel
    PEERJ COMPUTER SCIENCE, 2016,
  • [5] Provenance-Aware Faceted Search in Drupal
    Shangguan, Zhenning
    Zheng, Jinguang
    McGuinness, Deborah L.
    PROVENANCE AND ANNOTATION OF DATA AND PROCESSES, 2010, 6378 : 142 - 147
  • [6] PrIMe: A Methodology for Developing Provenance-Aware Applications
    Miles, Simon
    Groth, Paul
    Munroe, Steve
    Moreau, Luc
    ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 2011, 20 (03)
  • [7] Provenance-aware Pervasive Computing in Clinical Applications
    Kovalchuk, Yevgeniya
    Chen, Yuhui
    Miles, Simon
    Liang, Shao Fen
    Taweel, Adel
    2013 IEEE 9TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB), 2013, : 297 - 302
  • [8] A Provenance-aware policy language (cProvl) and a data traceability model (cProv) for the Cloud
    Ali, Mufajjul
    Moreau, Luc
    2013 IEEE THIRD INTERNATIONAL CONFERENCE ON CLOUD AND GREEN COMPUTING (CGC 2013), 2013, : 479 - 486
  • [9] SWIRRL. Managing Provenance-aware and Reproducible Workspaces
    Spinuso, Alessandro
    Veldhuizen, Mats
    Bailo, Daniele
    Vinciarelli, Valerio
    Langeland, Tor
    DATA INTELLIGENCE, 2022, 4 (02) : 243 - 258
  • [10] A Provenance-aware Service Repository for EAI Process Modeling Tools
    Minguez, Jorge
    Niedermann, Florian
    Mitschang, Bernhard
    2011 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION (IRI), 2011, : 42 - 47
12345