Principles of dataspace systems

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Abstract
The most acute information management challenges today stem from organizations relying on a large number of diverse, inter- related data sources, but having no means of managing them in a convenient, integrated, or principled fashion. These chal- lenges arise in enterprise and government data management, digital libraries, ìsmartî homes and personal information man- agement. We have proposed dataspaces as a data management abstraction for these diverse applications and DataSpace Sup- port Platforms (DSSPs) as systems that should be built to pro- vide the required services over dataspaces. Unlike data inte- gration systems, DSSPs do not require full semantic integra- tion of the sources in order to provide useful services. This paper lays out specic technical challenges to realizing DSSPs and ties them to existing work in our eld. We focus on query answering in DSSPs, the DSSP's ability to introspect on its content, and the use of human attention to enhance the seman- tic relationships in a dataspace.

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