A product perspective on total data quality management
Communications of the ACM
Improving data warehouse and business information quality: methods for reducing costs and increasing profits
Enterprise knowledge management: the data quality approach
Enterprise knowledge management: the data quality approach
AIMQ: a methodology for information quality assessment
Information and Management
Design and Analysis of Quality Information for Data Warehouses
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
Security Conscious Web Service Composition
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Service-Oriented Architecture (SOA): A Planning and Implementation Guide for Business and Technology
Service-Oriented Architecture (SOA): A Planning and Implementation Guide for Business and Technology
Service oriented architectures: approaches, technologies and research issues
The VLDB Journal — The International Journal on Very Large Data Bases
Design science in information systems research
MIS Quarterly
Choreography conformance analysis: asynchronous communications and information alignment
WS-FM'06 Proceedings of the Third international conference on Web Services and Formal Methods
Data oriented challenges of service architectures a data quality perspective
Proceedings of the 13th International Conference on Computer Systems and Technologies
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Nowadays, Service Oriented Architecture (SOA) has become a preferable way of building information systems because they enable enterprises to rapidly response to the business' changes. However, the more complex SOA develops, the more likely are data quality (DQ) issues to be encountered. Despite the huge number of studies that have been done on SOA, very little has been investigated about the DQ aspect. In this paper we address issues concerning the detection of data quality problems. Hence, we propose a DQ methodology in the SOA context which will assess semantic (business) data.