This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
July/August 2010 (vol. 14 no. 4)
pp. 11-13
ASCII Text
x 
 
Elisa Bertino, Andrea Maurino, Monica Scannapieco, "Guest Editors' Introduction: Data Quality in the Internet Era," IEEE Internet Computing, vol. 14, no. 4, pp. 11-13, July/August, 2010.
 
 
BibTex
x
 
@article{ 10.1109/MIC.2010.93,
author = {Elisa Bertino and Andrea Maurino and Monica Scannapieco},
title = {Guest Editors' Introduction: Data Quality in the Internet Era},
journal ={IEEE Internet Computing},
volume = {14},
number = {4},
issn = {1089-7801},
year = {2010},
pages = {11-13},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2010.93},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Internet Computing
TI - Guest Editors' Introduction: Data Quality in the Internet Era
IS - 4
SN - 1089-7801
SP11
EP13
EPD - 11-13
A1 - Elisa Bertino,
A1 - Andrea Maurino,
A1 - Monica Scannapieco,
PY - 2010
KW - information quality
KW - data quality
KW - instance matching
KW - mashups
KW - Internet
VL - 14
JA - IEEE Internet Computing
ER -
 
Elisa Bertino, Purdue University
Andrea Maurino, University of Milano Bicocca
Monica Scannapieco, Italian National Institute of Statistics
The vast amount of data available on the Internet introduces new challenging data quality problems, such as accessibility and usability. Low information quality is common in various Web applications, including Web 2.0 tools. Consequently, information quality on the Internet is one of the most crucial requirements for an effective use of data from the Web and pervasive deployment of Web-based applications.

1. C. Bize et al., "Linked Data — The Story So Far," Int'l J. Semantic Web & Information Systems, vol. 5, no. 3, 2009, pp. 1–22; http://dx.doi.org/10.1007978-3-642-04930-9_35 .
2. E. Agichtein et al., "Finding High-Quality Content in Social Media," Proc. Int'l Conf. Web Search and Web Data Mining (WSDM 08), ACM Press, 2008, pp. 183–194; http://doi.acm.org/10.11451341531.1341557 .
3. H.L. Truong and S. Dustdar, "On Analyzing and Specifying Concerns for Data as a Service," Proc. IEEE Asia-Pacific Services Computing Conf. (APSCC 09), IEEE Press, 2009, pp. 87–94.
4. Q. Gao and G. Houben, "A Framework for Trust Establishment and Assessment on the Web of Data," Proc. 19th Int'l Conf. World Wide Web (WWW 10), ACM Press, 2010, pp. 1097–1098; http://doi.acm.org/10.11451772690.1772822 .
5. C. Batini et al., "Methodologies for Data Quality Assessment and Improvement," ACM Computing Surveys, vol. 41, no. 3, 2009, pp. 1–52; http://doi.acm.org/10.11451541880.1541883 .
6. X.L. Dong, L. Berti-Equille, and D. Srivastava, "Truth Discovery and Copying Detection in a Dynamic World," Proc. VLDB Endowment (PVLDB 09), vol. 2, no. 1, 2009, pp. 562–573.
7. X.L. Dong, L. Berti-Equille, and D. Srivastava, "Integrating Conflicting Data: The Role of Source Dependence," Proc. VLDB Endowment (PVLDB 09), vol. 2, no. 1, 2009, pp. 550–561.

Index Terms:
information quality, data quality, instance matching, mashups, Internet
Citation:
Elisa Bertino, Andrea Maurino, Monica Scannapieco, "Guest Editors' Introduction: Data Quality in the Internet Era," IEEE Internet Computing, vol. 14, no. 4, pp. 11-13, July-Aug. 2010, doi:10.1109/MIC.2010.93
Usage of this product signifies your acceptance of the Terms of Use.