Integrating ecoinformatics resources on the semantic web

ABSTRACT

We describe ELVIS (the Ecosystem Location Visualization and Information System), a suite of tools for constructing food webs for a given location. We express both ELVIS input and output data in OWL, thereby enabling its integration with other semantic web resources. In particular, we describe using a Triple Shop application to answer SPARQL queries from a collection of semantic web documents. This is an end-to-end case study of the semantic web's utility for ecological and environmental research.

REFERENCES

• 1: Dunne, J. A. The network structure of food webs. In: Ecological Networks: Linking Structure to Dynamics in Food Webs, eds. Pascual, M. and Dunne, J. A. Oxford University Press, 2005.pp. 27--86.
• 2: Matthew B. Jones , Chad Berkley , Jivka Bojilova , Mark Schildhauer, Managing Scientific Metadata, IEEE Internet Computing, v.5 n.5, p.59-68, September 2001 [doi>10.1109/4236.957896]
• 3: Li Ding , Tim Finin , Anupam Joshi , Rong Pan , R. Scott Cost , Yun Peng , Pavan Reddivari , Vishal Doshi , Joel Sachs, Swoogle: a search and metadata engine for the semantic web, Proceedings of the thirteenth ACM international conference on Information and knowledge management, November 08-13, 2004, Washington, D.C., USA [doi>10.1145/1031171.1031289]
• 4: Ludaescher, B. et al. 2004. Scientific workflow management and the Kepler system. Concurrency and Computation: Practice and Experience.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.0 GENERAL

Additional Classification:
  H. Information Systems
  H.4 INFORMATION SYSTEMS APPLICATIONS
      H.4.0 General
      H.4.m Miscellaneous

General Terms:
Algorithms, Design, Experimentation, Human Factors, Standardization

Keywords:
biodiversity, ecological forecasting, food webs, invasive species, ontologies, semantic web, service oriented design