| An architecture for creating collaborative semantically capable scientific data sharing infrastructures |
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Workshop On Web Information And Data Management
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Proceedings of the 8th annual ACM international workshop on Web information and data management
table of contents
Arlington, Virginia, USA
SESSION: Web organization
table of contents
Pages: 75 - 82
Year of Publication: 2006
ISBN:1-59593-525-8
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Authors
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Anuj R. Jaiswal
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The Pennsylvania State University, University Park, Pennsylvania
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C. Lee Giles
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The Pennsylvania State University, University Park, Pennsylvania
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Prasenjit Mitra
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The Pennsylvania State University, University Park, Pennsylvania
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James Z. Wang
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The Pennsylvania State University, University Park, Pennsylvania
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Downloads (6 Weeks): 5, Downloads (12 Months): 41, Citation Count: 4
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ABSTRACT
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.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 4
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Raoul Pascal Pein , Joan Lu , John Birger Stav , Miro Uran, An investigation in applying image retrieval techniques to X-ray engineering pictures, Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases, p.73-78, February 21-23, 2009, Cambridge, UK
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