An Architecture for Creating Collaborative Semantically Capable
Scientific Data Sharing Infrastructures
Anuj R. Jaiswal, C. Lee Giles, Prasenjit Mitra, and James Z. Wang
The Pennsylvania State University
Increasingly, scientists are seeking to collaborate and share data
among themselves. Such sharing is can be readily done by publishing
data on the World-Wide Web. Meaningful querying and searching on such
data depends upon the availability of accurate and adequate metadata
that describes the data and the sources of the data. In this paper, we
outline the architecture of an implemented cyber-infrastructure for
chemistry that provides tools for users to upload datasets and their
metadata to a database. Our proposal combines a two level metadata
system with a centralized database repository and analysis tools to
create an effective and capable data sharing infrastructure. Our
infrastructure is extensible in that it can handle data in different
formats and allows different analytic tools to be plugged in.
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Anuj R. Jaiswal, C. Lee Giles, Prasenjit Mitra and James Z. Wang, ``An
Architecture for Creating Collaborative Semantically Capable
Scientific Data Sharing Infrastructures,'' Proceedings of the 8th
International Workshop on Web Information and Data Management, in
conjunction with ACM International Conference on Information and
Knowledge Management, pp. 75-82, Arlington, VA, ACM, November 2006.
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September 1, 2006.
© 2006, James Z. Wang