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Award Abstract # 0943761
STCI: A Semantic eScience Framework (SESF): Facilitating Next Generation Data Intensive Science

NSF Org: OAC
Office of Advanced Cyberinfrastructure (OAC)
Recipient: RENSSELAER POLYTECHNIC INSTITUTE
Initial Amendment Date: September 16, 2009
Latest Amendment Date: September 16, 2009
Award Number: 0943761
Award Instrument: Standard Grant
Program Manager: Daniel Katz
OAC
 Office of Advanced Cyberinfrastructure (OAC)
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: September 15, 2009
End Date: August 31, 2012 (Estimated)
Total Intended Award Amount: $1,100,000.00
Total Awarded Amount to Date: $1,100,000.00
Funds Obligated to Date: FY 2009 = $1,100,000.00
ARRA Amount: $1,100,000.00
History of Investigator:
  • Peter Fox (Principal Investigator)
    foxp@rpi.edu
  • Deborah McGuinness (Co-Principal Investigator)
Recipient Sponsored Research Office: Rensselaer Polytechnic Institute
110 8TH ST
TROY
NY  US  12180-3590
(518)276-6000
Sponsor Congressional District: 20
Primary Place of Performance: Rensselaer Polytechnic Institute
110 8TH ST
TROY
NY  US  12180-3590
Primary Place of Performance
Congressional District:
20
Unique Entity Identifier (UEI): U5WBFKEBLMX3
Parent UEI:
NSF Program(s): CESER-Cyberinfrastructure for
Primary Program Source: 01R00910DB RRA RECOVERY ACT
Program Reference Code(s): 6890, 7684, 9215, HPCC
Program Element Code(s): 768400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

This award is made using funds made available by the American Recovery
and Reinvestment Act of 2009 (Public Law 111-5)

Project will implement configurable and extensible semantic eScience framework. Configuration will require some research into accommodating different levels of semantic expressivity and user requirements from use cases. Extensibility is best achieved in a modular approach to the semantic encodings (i.e. ontologies) performed in a community setting, i.e. an ontology framework into which specific applications all the way up to communities can extend the semantics for their needs. Over the past few years, semantic technologies have evolved and new tools are appearing. Part of the effort in this pro ject will be to accommodate these advances in the new framework and lay out a sustainable software path for the (certain) technical advances. In addition to a generalization of the current data science interface, project will include an upper-level interface suitable for use by clearinghouses, and/or educational portals, digital libraries, and other disciplines.

Please report errors in award information by writing to: awardsearch@nsf.gov.

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