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Open Data Platform for Knowledge Access in Plant Health Domain : VESPA Mining
April 23, 2015 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Nicolas Turenne, Mathieu Andro, Roselyne Corbière, Tien T. Phan
arXiv ID
1504.06077
Category
cs.IR: Information Retrieval
Cross-listed
cs.CL
Citations
11
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Important data are locked in ancient literature. It would be uneconomic to produce these data again and today or to extract them without the help of text mining technologies. Vespa is a text mining project whose aim is to extract data on pest and crops interactions, to model and predict attacks on crops, and to reduce the use of pesticides. A few attempts proposed an agricultural information access. Another originality of our work is to parse documents with a dependency of the document architecture.
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