ACM Home Page
Please provide us with feedback. Feedback
An architecture for creating collaborative semantically capable scientific data sharing infrastructures
Full text PdfPdf (473 KB)
Source Workshop On Web Information And Data Management archive
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
Authors
Anuj R. Jaiswal  The Pennsylvania State University, University Park, Pennsylvania
C. Lee Giles  The Pennsylvania State University, University Park, Pennsylvania
Prasenjit Mitra  The Pennsylvania State University, University Park, Pennsylvania
James Z. Wang  The Pennsylvania State University, University Park, Pennsylvania
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 41,   Citation Count: 4
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1183550.1183566
What is a DOI?

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.

 
1
Bairoch, A., Apweiler, R. The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000. Nucleic Acids Research, vol. 28, no. 1, pp. 45--48, 2000.
 
2
Bateman, A., Coin L., et al. The Pfam protein families database. Nucleic Acids Research, vol. 30, no. 1, pp. 276--280, 2002.
3
4
 
5
Chervenak, A., Foster, I., Kesselman, C., Salisbury, C., Tuecke, S., The Data Grid: Towards an architecture for the distributed management and analysis of large scientific datasets. Journal of Network and Computer Applications, vol. 23, No. 3, pp. 187--200, July 2000.
6
 
7
Dongilli, P., Franconi, E., Tessaris, S. Semantics driven support for query formulation. In Proceedings of the International Workshop on Description Logics (DL), vol. 104, Whistler, BC, Canada, June 2004.
 
8
Dublin Core Qualifiers. Dublin Core Metadata Initiative, 2000.
 
9
Hamosh, A., Scott, A. F., Amberger, J., Bocchini, C., Valle, D., McKusick, V. A., Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders. Nucleic Acids Research, vol. 30, no. 1, pp. 52--55. 2002.
 
10
OAI -- Protocol for Metadata Harvesting. Open Archives Initiative. http://www.openarchives.org/. 2001.
 
11
Shosani, A., Bernado, L. M., Nordberg, H., Rotem, D., Sim, A. Storage management for high energy physics applications. In Computing in High Energy Physics (CHEP). 1998.


Collaborative Colleagues:
Anuj R. Jaiswal: colleagues
C. Lee Giles: colleagues
Prasenjit Mitra: colleagues
James Z. Wang: colleagues