An Architecture of DSP Tool for Publishing the Heterogeneous Data in Dataspace

A data space system manages a variety of heterogeneous data in integrated and incremental fashion. In order to populate the data uniformly requires a data publication tool which will able to extract the data from the data sources, and translate them into a regular format. In this paper, we have proposed a flexible architecture of Data space Publishing Tool (DSP Tool) for publishing the heterogeneous data into a data space. This tool is simple and easy to customize. The proposed architecture is based on the data space system principle (i.e., Pay-as-you-go), and populates the data space without modeling the semantic heterogeneity of data.