Using the Semantic Web to Support Ecoinformatics

We describe our on-going work in using the semantic web in support of ecological informatics, and demonstrate a distributed platform for constructing end-to-end use cases. Specifically, we describe ELVIS (the Ecosystem Location Visualization and Information System), a suite of tools for constructing food webs for a given location, and Triple Shop, a SPARQL query interface which allows scientists to semi-automatically construct distributed datasets relevant to the queries they want to ask. 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 Triple Shop and other semantic web resources.
Date: October 13, 2006
Book Title: Proceedings of the AAAI Fall Symposium on the Semantic Web for Collaborative Knowledge Acquisition
Type: InProceedings
Publisher: American Associate for Artificial Intelligence
Google scholar: MKVxd2X0tCwJ
Google citations: 5 citations
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Bibtex


@InProceedings{Using_the_Semantic_Web_to_Support_Ecoinf,
  author = "Joel Sachs and Cynthia Parr and Andriy Parafiynyk and Rong Pan and Lushan Han and Li Ding and Tim Finin and Allan Hollender and Taowei Wang",
  title = "{Using the Semantic Web to Support Ecoinformatics}",
  month = "October",
  year = "2006",
  booktitle = "Proceedings of the AAAI Fall Symposium on the Semantic Web for Collaborative Knowledge Acquisition ",
  publisher = "American Associate for Artificial Intelligence",
}