Incorporating Data Concerns Into Query Languages for Data Services
More and more organizations provide their data on the web via data services - also referred to as Data as a Service (DaaS). Data services combine the strength of database systems and query languages on the one hand with the benefits of Service-Oriented Architecture on the other hand. Data services are increasingly used for data integration. The data provided via data services is often associated with data concerns like privacy, licensing, pricing, quality of data, etc. Hence, data integration tools not only have to mitigate the heterogeneity in data formats and query languages. In addition, also the various data concerns should be preserved when data is published and utilized.