Proceedings of the 15th International Conference on World Wide Web 2006
DOI: 10.1145/1135777.1136021
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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.

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Cited by 8 publications
(8 citation statements)
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“…Further, recent interaction with the Environments-EOL initiative [ 51 ], which is utilising text-mining approaches to annotate Encyclopedia of Life (EOL; [ 5 ]) pages with ENVO classes, is providing valuable guidance in ENVO’s development. Further, we have worked with the ecoinformatics community to map the environmental descriptors in ENVO to the SPIRE vocabulary [ 52 ]. This allows ecological interaction data mapped to SPIRE to be re-mapped to ENVO.…”
Section: Resultsmentioning
confidence: 99%
“…Further, recent interaction with the Environments-EOL initiative [ 51 ], which is utilising text-mining approaches to annotate Encyclopedia of Life (EOL; [ 5 ]) pages with ENVO classes, is providing valuable guidance in ENVO’s development. Further, we have worked with the ecoinformatics community to map the environmental descriptors in ENVO to the SPIRE vocabulary [ 52 ]. This allows ecological interaction data mapped to SPIRE to be re-mapped to ENVO.…”
Section: Resultsmentioning
confidence: 99%
“…Especially in the life history and ecology domains ontology coverage is still sparse. EOL staff therefore regularly propose new terms for adoption into ontologies like PATO and CHEBI, and we are involved in efforts to extend the Relations Ontology (RO), 31 Population and Community Ontology (PCO), 32 and Biological Collections Ontology (BCO) 33 to improve coverage of the different dimensions of biotic interactions.…”
Section: Semantic Annotationmentioning
confidence: 99%
“…This choice of functions was based on our study of ontology tools, frameworks and services (Section 3), and of several biodiversity systems (e.g., SinBiota [13], Spire [48] or GBIF [6]). This was complemented by a process of requirements elicitation conducted with the biologists that work in WeBios.…”
Section: ) Andmentioning
confidence: 99%
“…The external repository used to test taxonomic (non-ranked) search was the Spire portal 3 [48] accessed via URI ''http://spire.umbc.edu/ont/ ethan-part.php''. Since it does not offer a WS interface, we had to implement this external access using HTTP requests, which return an OWL file.…”
Section: Implementing Aondeâmentioning
confidence: 99%