Using the semantic web to integrate ecoinformatics resources

Authors:
Cynthia Sims Parr;Andriy Parafiynyk;Joel Sachs;Rong Pan;Lushan Han;Li Ding;Tim Finin;David Wang
Affiliations:
Dept. of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD;Dept. of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD;Dept. of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD;Dept. of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD;Dept. of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD;Dept. of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD;Dept. of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD;Dept. of Computer Science, University of Maryland, College Park, MD
Venue:
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Year:
2006

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Abstract

We demonstrate an end-to-end use case of the semantic web's utility for synthesizing ecological and environmental data. ELVIS (the Ecosystem Location Visualization and Information System) is a suite of tools for constructing food webs for a given location. ELVIS functionality is exposed as a collection of web services, and all input and output data is expressed 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.