SEEK: Science Environment for Ecological Knowledge

01/10/2002 - 31/10/2008

project image
The goals of the project are to make fundamental improvements in how researchers can
1) gain global access to ecological data and information,
2) rapidly locate and utilize distributed computational services, and
3) exercise powerful new methods for capturing, reproducing, and extending the analysis process itself.
The project involves a multidisciplinary team of computer scientists, ecologists and technologists from the Partnership for Biodiversity Informatics (PBI), a consortium comprising the National Center for Ecological Analysis and Synthesis (NCEAS); the San Diego Supercomputer Center (SDSC); the University of Kansas (KU); and the University of New Mexico (UNM) and partnering institutions (Arizona State University, University of North Carolina, University of Vermont, and Napier University in Scotland).
The SEEK project website The Napier team are part of the Taxon Working Group in SEEK and are developing standards for modelling taxonomic concepts and Visualisation tools for comparing taxonomic concepts.
SEEK: Science Environment for Ecological Knowledge is a Research - Other Sources project funded by NSF, USA. Carried out in collaboration with and others. For further information please refer to
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Project Team

Dr Paul Craig
(not currently an institute member)
Jessie Kennedy
Dean of Research and Innovation
+44 131 455 2772
Dr Martin Graham
(not currently an institute member)
Robert Kukla
Senior Research Fellow
+44 131 455 2738

Associated Publications

Graham, M., Kennedy, J., Downey, L. (2006). Visual Comparison and Exploration of Natural History Collections. In: Celentano, A., Mussio, P. (Eds.) Advanced Visual Interfaces (AVI) 2006, , () ( ed.). (pp. 310-313). Venice, Italy: . ACM Press.

Kennedy, J., Hyam, R., Kukla, R., Paterson, T. (2006). A Standard Data Model Representation for Taxonomic Information. OMICS: A Journal of Integrative Biology, 10, (2), 220-230.

Kennedy, J., Gales, R., Kukla, R. (2006). Converting an Existing Taxonomic Data Resource to Employ an Ontology and LSIDs. In: Belbin, L., Rissoné, A., Weitzman, A. (Eds.) Proceedings of TDWG (2006), St Louis, MI., , () ( ed.). (pp. ). : . .

Kennedy, J., Gales, R., Kukla, R., Hyam, R., Wieczorek, J., Hagedorn, G., Döring, M., Vieglais, D. (2006). Developing a Core Ontology for Taxonomic Data. In: Belbin, L., Rissoné, A., Weitzman, A. (Eds.) Proceedings of TDWG (2006), St Louis, MI, , () ( ed.). (pp. ). USA: . .

Graham, M., Kennedy, J. (2005). Extending Taxonomic Visualisation to Incorporate Synonymy and Structural Markers. Information Visualization, 4, (3), 206-223.

Kennedy, J., Kukla, R., Paterson, T. (2005). Scientific names are ambiguous as identifiers for biological taxa: their context and definition are required for accurate data integration. In: Ludaescher, B., Raschid, L. (Eds.) Data Integration in the Life Sciences, 3615, () ( ed.). (pp. 80-95). Berlin Heidelberg: . Springer-Verlag.

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