Abstract
The Science Environment for Ecological Knowledge (SEEK) [1] is an information technology project designed to address the many challenges associated with data accessibility and integration of large-scale biocomplexity data in the ecological sciences. The SEEK project is creating cyberinfrastructure encompassing three integrated systems: EcoGrid, a Semantic Mediation System (SMS) and an Analysis and Modeling System (AMS). SEEK enables ecologists to efficiently capture, organize and search for data and analytical processes (i.e., scientific workflows) from their desktop in a user friendly interface - ultimately providing access to global data and analytical resources typically out of reach for many ecologists. The prototype application is ecological niche modeling.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 28-32 |
| Number of pages | 5 |
| Journal | Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM |
| State | Published - Dec 1 2005 |
| Event | 17th International Conference Scientific and Statistical Database Management, SSDBM 2005 - Santa Barbara, CA, United States Duration: Jun 27 2005 → Jun 29 2005 |
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ASJC Scopus subject areas
- Software
- Information Systems
Cite this
Creating and providing data management services for the biological and ecological sciences : Science environment for ecological knowledge. / Romanello, Samantha; Beach, James; Bowers, Shawn; Jones, Matthew; Ludaescher, Bertram; Michener, William; Pennington, Deana; Rajasekar, Arcot; Schildhauer, Mark.
In: Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM, 01.12.2005, p. 28-32.Research output: Contribution to journal › Conference article
}
TY - JOUR
T1 - Creating and providing data management services for the biological and ecological sciences
T2 - Science environment for ecological knowledge
AU - Romanello, Samantha
AU - Beach, James
AU - Bowers, Shawn
AU - Jones, Matthew
AU - Ludaescher, Bertram
AU - Michener, William
AU - Pennington, Deana
AU - Rajasekar, Arcot
AU - Schildhauer, Mark
PY - 2005/12/1
Y1 - 2005/12/1
N2 - The Science Environment for Ecological Knowledge (SEEK) [1] is an information technology project designed to address the many challenges associated with data accessibility and integration of large-scale biocomplexity data in the ecological sciences. The SEEK project is creating cyberinfrastructure encompassing three integrated systems: EcoGrid, a Semantic Mediation System (SMS) and an Analysis and Modeling System (AMS). SEEK enables ecologists to efficiently capture, organize and search for data and analytical processes (i.e., scientific workflows) from their desktop in a user friendly interface - ultimately providing access to global data and analytical resources typically out of reach for many ecologists. The prototype application is ecological niche modeling.
AB - The Science Environment for Ecological Knowledge (SEEK) [1] is an information technology project designed to address the many challenges associated with data accessibility and integration of large-scale biocomplexity data in the ecological sciences. The SEEK project is creating cyberinfrastructure encompassing three integrated systems: EcoGrid, a Semantic Mediation System (SMS) and an Analysis and Modeling System (AMS). SEEK enables ecologists to efficiently capture, organize and search for data and analytical processes (i.e., scientific workflows) from their desktop in a user friendly interface - ultimately providing access to global data and analytical resources typically out of reach for many ecologists. The prototype application is ecological niche modeling.
UR - http://www.scopus.com/inward/record.url?scp=62349116153&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=62349116153&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:62349116153
SP - 28
EP - 32
JO - Scientific and Statistical Database Management - Proceedings of the International Working Conference
JF - Scientific and Statistical Database Management - Proceedings of the International Working Conference
SN - 1099-3371
ER -