Abstract
The Science Environment for Ecological Knowledge (SEEK) is designed to help ecologists overcome data integration and synthesis challenges. The SEEK environment enables ecologists to efficiently capture, organize, and search for data and analytical processes. We describe SEEK and discuss how it can benefit ecological niche modeling in which biodiversity scientists require access and integration of regional and global data as well as significant analytical resources.
We thank the other members of SEEK, including: Chad Berkley, Dan Higgins, Jessie Kennedy, Ricardo Pereira, Town Peterson, Aimee Stewart, Jing Tao, and Bing Zhu. This work is supported in part by NSF grants ITR 0225674, EF 0225665 and DBI 0129792, DARPA grant N00014-03-1-0900, and the Andrew Mellon Foundation.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Berkley, C., Bowers, S., Jones, M., Ludäscher, B., Schildhauer, M., Tao, J.: Incorporating semantics in scientific workflow authoring. In: SSDBM 2005 (2005)
Bowers, S., Ludäscher, B.: An ontology-driven framework for data transformation in scientific workflows. In: Rahm, E. (ed.) DILS 2004. LNCS (LNBI), vol. 2994, pp. 1–16. Springer, Heidelberg (2004)
Bowers, S., Ludäscher, B.: Actor-oriented design of scientific workflows. In: Delcambre, L.M.L., Kop, C., Mayr, H.C., Mylopoulos, J., Pastor, Ó. (eds.) ER 2005. LNCS, vol. 3716, pp. 369–384. Springer, Heidelberg (2005)
Jones, M.: SEEK EcoGrid: Integrating data and computation resources for ecology. DataBits: An electronic newsletter for Information Managers (Spring 2003)
Kennedy, J., Paterson, T., Kukla, R.: Scientific names are ambiguous as identifiers for biological taxa: Their context and definition are required for accurate data integration. In: Ludäscher, B., Raschid, L. (eds.) DILS 2005. LNCS (LNBI), vol. 3615, pp. 80–95. Springer, Heidelberg (2005)
Ludäscher, B., Altintas, I., Berkley, C., Higgins, D., Jaeger-Frank, E., Jones, M., Lee, E.A., Tao, J., Zhao, Y.: Scientific workflow management and the Kepler system. Concurrency and Computation: Practic & Experience, Special Issue on Scientific Workflows (2005)
Peterson, A., Ortega-Huerta, M., Bartley, J., Sanchez-Cordero, V., Soberon, J., Buddemeier, R., Stockwell, D.: Future projections for mexican faunas under global climate change scenarios. Nature, 416 (April 2002)
Stockwell, D., Peters, D.: The GARP modelling system: Problems and solutions to automated spatial prediction. Intl. Journal of Geographical Information Science 13 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Michener, W. et al. (2005). Data Integration and Workflow Solutions for Ecology. In: Ludäscher, B., Raschid, L. (eds) Data Integration in the Life Sciences. DILS 2005. Lecture Notes in Computer Science(), vol 3615. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11530084_32
Download citation
DOI: https://doi.org/10.1007/11530084_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27967-9
Online ISBN: 978-3-540-31879-8
eBook Packages: Computer ScienceComputer Science (R0)