%0 Journal Article
%A ZHANG Bo1
%A WEN Yan2
%A CHEN Ming3
%A CHEN Tingting2
%T Data service aggregation algebra for supporting heterogeneous on-demand data integration
%D 2017
%R 10.3778/j.issn.1002-8331.1607-0298
%J Computer Engineering and Applications
%P 68-76
%V 53
%N 15
%X Traditional data integration approaches cannot handle heterogeneous and dynamic characteristics of the Internet, and cannot support on-demand and personalized integration requirements. Data service is the basic unit for data integration on Internet. This paper proposes a data service aggregation algebra, which makes use of the nested-relation and nested-table as a visualized integration environment. The algebra enables the integration process based on sematic mappings between data sources, making it possible to integrate data in heterogeneous environments directly, so as to provide strong theoretical support for quickly on-demand data integration. The algebra provides a set of properties to ensure the data integrity and correctness during the integration process. A case study demonstrates the effect of data service aggregation algebra.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1607-0298