Article

Using web data provenance for quality assessment

Authors:

Jun ZhaoAuthors Info & Claims

SWPM'09: Proceedings of the First International Conference on Semantic Web in Provenance Management - Volume 526

Pages 29 - 34

Published: 25 October 2009 Publication History

Abstract

The Web of Data cannot be a trustworthy data source unless an approach for evaluating the quality of data on the Web is established and integrated as part of the data publication and access process. In this paper, we propose an approach of using provenance information about the data on theWeb to assess their quality and trustworthiness. Our contributions include a model for Web data provenance and an assessment method that can be adapted for specific quality criteria. We demonstrate how this method can be used to evaluate the timeliness of data on the Web, to reflect how up-to-date the data is. We also propose a possible solution to deal with missing provenance information by associating certainty values with calculated quality values.

References

[1]

C. Bizer, T. Heath, and T. Berners-Lee, "Linked Data - The Story So Far," Int. Journal on Semantic Web and Information Systems, Special Issue on Linked Data, 2009, in press.

[2]

W. L. Yang, M. S. Diane, B. K. Kahn, and Y. W. Richard, "AIMQ: a methodology for information quality assessment," Information & Management, vol. 40, no. 2, 2002.

[3]

O. Hartig, "Provenance Information in the Web of Data," in Proc. of the Linked Data on the Web Workshop at WWW, 2009.

[4]

F. Naumann, Quality-driven query answering for integrated information systems. Springer Verlag, 2002.

[5]

M. Bobrowski, M. Marré, and D. Yankelevich., "A homogeneous framework to measure data quality," in Proc. of IQ, 1999.

[6]

A. Motro and I. Rakov, "Estimating the quality of databases," in Proc. of FQAS, 1998.

[7]

J.-R. Gruser, L. Raschid, V. Zadorozhny, and T. Zhan, "Learning response time for websources using query feedback and application in query optimization," VLDB Journal, vol. 9, no. 1, 2000.

[8]

D. Ballou, R. Wang, H. Pazer, and G. K. Tayi, "Modeling Information Manufacturing Systems to Determine Information Product Quality," Management Science, vol. 44, no. 4, 1998.

[9]

S. C. Wong, S. Miles, W. Fang, P. Groth, and L. Moreau, "Provenance-based validation of e-science experiments," in Proc. of ISWC, 2005.

[10]

J. Golbeck and A. Mannes, "Using Trust and Provenance for Content Filtering on the Semantic Web," in Proc. of the Models of Trust for the Web Workshop at WWW, 2006.

[11]

Y. Simmhan, B. Plale, and D. Gannon, "A Survey of Data Provenance in e-Science," SIGMOD Record, vol. 34, no. 3, 2005.

[12]

W. C. Tan, "Provenance in Databases: Past, Current, and Future," IEEE Data Engineering Bulletin, vol. 30, no. 4, 2007.

[13]

L. L. Pipino, Y. W. Lee, and R. Y. Wang, "Data Quality Assessment," Communications of the ACM, vol. 45, no. 4, 2002.

[14]

C. Bizer, Quality-Driven Information Filtering in the Context of Web-Based Information Systems. VDM Verlag, 2007.

[15]

S. de F. Mendes Sampaio, C. Dong, and P. Sampaio, "Incorporating the Timeliness Quality Dimension in Internet Query Systems," in Proc. of WISE, 2005.

Cited By

Mountantonakis MTzitzikas Y(2019)Large-scale Semantic Integration of Linked DataACM Computing Surveys10.1145/334555152:5(1-40)Online publication date: 13-Sep-2019
https://dl.acm.org/doi/10.1145/3345551
Piscopo ASimperl ELundell BGamalielsson JMorgan LRobles G(2019)What we talk about when we talk about wikidata qualityProceedings of the 15th International Symposium on Open Collaboration10.1145/3306446.3340822(1-11)Online publication date: 20-Aug-2019
https://dl.acm.org/doi/10.1145/3306446.3340822
Trinh TAryan PDo BEkaputra FKiesling ERauber AWetz PTjoa ASheth ANgonga AWang yChang EŚlęzak DFranczyk BAlt RTao X(2017)Linked data processing provenanceProceedings of the International Conference on Web Intelligence10.1145/3106426.3106495(88-96)Online publication date: 23-Aug-2017
https://dl.acm.org/doi/10.1145/3106426.3106495
Show More Cited By

Recommendations

Provenance Quality Assessment Methodology and Framework
Special Issue on Provenance, Data and Information Quality

Data provenance, a form of metadata describing the life cycle of a data product, is crucial in the sharing of research data. Research data, when shared over decades, requires recipients to make a determination of both use and trust. That is, can they ...
Data Warehouse Quality Assessment Using Contexts
WISE 2016: Proceedings of the 17th International Conference on Web Information Systems Engineering - Volume 10042

Data Warehousing Systems DWS are of great relevance for supporting decision making and data analysis. This has been proven over time, through the generalization of its development and use in all kind of organizations. Many researchers have presented the ...
A Model for Data Quality Assessment
OTM '08: Proceedings of the OTM Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: 2008 Workshops: ADI, AWeSoMe, COMBEK, EI2N, IWSSA, MONET, OnToContent + QSI, ORM, PerSys, RDDS, SEMELS, and SWWS

One of the major causes for the failure of information systems to deliver can be attributed to data quality. Gartner's figures and other similar studies show the failure rate hovering at a plateau of 50% for data warehouses since 2004. While the true ...

Comments

Information & Contributors

Information

Published In

cover image Guide Proceedings

SWPM'09: Proceedings of the First International Conference on Semantic Web in Provenance Management - Volume 526

October 2009

47 pages

Editors:
Juliana Freire
University of Utah, School of Computing, Salt Lake City, Utah
,
Paolo Missier
University of Manchester , School of Computer Science, Manchester, UK
,
Satya S. Sahoo
Wright State University, Kno.e.sis Center, Dayton, Ohio

Publisher

CEUR-WS.org

Aachen, Germany

Publication History

Published: 25 October 2009

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
17
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 23 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Mountantonakis MTzitzikas Y(2019)Large-scale Semantic Integration of Linked DataACM Computing Surveys10.1145/334555152:5(1-40)Online publication date: 13-Sep-2019
https://dl.acm.org/doi/10.1145/3345551
Piscopo ASimperl ELundell BGamalielsson JMorgan LRobles G(2019)What we talk about when we talk about wikidata qualityProceedings of the 15th International Symposium on Open Collaboration10.1145/3306446.3340822(1-11)Online publication date: 20-Aug-2019
https://dl.acm.org/doi/10.1145/3306446.3340822
Trinh TAryan PDo BEkaputra FKiesling ERauber AWetz PTjoa ASheth ANgonga AWang yChang EŚlęzak DFranczyk BAlt RTao X(2017)Linked data processing provenanceProceedings of the International Conference on Web Intelligence10.1145/3106426.3106495(88-96)Online publication date: 23-Aug-2017
https://dl.acm.org/doi/10.1145/3106426.3106495
(2017)Linking open data and the crowd for real-time passenger informationWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2017.02.00243:C(18-24)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1016/j.websem.2017.02.002
Herschel MDiestelkämper RBen Lahmar H(2017)A survey on provenanceThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-017-0486-126:6(881-906)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1007/s00778-017-0486-1
Ceolin DNoordegraaf JAroyo Lvan Son CNejdl WHall WParigi PStaab S(2016)Towards web documents quality assessment for digital humanities scholarsProceedings of the 8th ACM Conference on Web Science10.1145/2908131.2908198(315-317)Online publication date: 22-May-2016
https://dl.acm.org/doi/10.1145/2908131.2908198
Behkamal BKahani MBagheri EJeremic Z(2014)A metrics-driven approach for quality assessment of linked open dataJournal of Theoretical and Applied Electronic Commerce Research10.4067/S0718-187620140002000069:2(64-79)Online publication date: 1-May-2014
https://dl.acm.org/doi/10.4067/S0718-18762014000200006
Ghoshal DChauhan APlale B(2014)Regenerating and Quantifying Quality of Benchmarking Data Using Static and Dynamic ProvenanceRevised Selected Papers of the 5th International Provenance and Annotation Workshop on Provenance and Annotation of Data and Processes - Volume 862810.1007/978-3-319-16462-5_5(56-67)Online publication date: 9-Jun-2014
https://dl.acm.org/doi/10.1007/978-3-319-16462-5_5
SezavarźKeshavarz AHuynh TMoreau L(2014)Provenance for Online Decision MakingRevised Selected Papers of the 5th International Provenance and Annotation Workshop on Provenance and Annotation of Data and Processes - Volume 862810.1007/978-3-319-16462-5_4(44-55)Online publication date: 9-Jun-2014
https://dl.acm.org/doi/10.1007/978-3-319-16462-5_4

View Options

View options

Media

Figures

Other

Tables

View Table of Contents