A methodology for analyzing and measuring semantic data quality in service oriented architectures

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.