Data Concern Aware Querying for the Integration of Data Services

Abstract

Abstract:There is an increasing trend for organizations to publish data over the web using data services. The published data is often associated with data concerns like privacy, licensing, pricing, quality of data, etc. This raises several new challenges. For instance, it must be ensured that data consumers utilize the data in the right way and are bound to the rules and regulations defined by the data owner and data service provider. Current Data Integration systems using data services lack the ability to preserve data concerns while querying multiple services in an integrated environment. In this paper, we design a new querying system which takes data concerns into account. It supports automatic service selection based on data concerns and perfectly fits into dynamic data integration applications.