DeepAI
Log In Sign Up

Open Data Platform for Knowledge Access in Plant Health Domain : VESPA Mining

04/23/2015
by   Nicolas Turenne, et al.
0

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.

READ FULL TEXT
03/12/2018

Text Data Mining from the Author's Perspective: Whose Text, Whose Mining, and to Whose Benefit?

Given the many technical, social, and policy shifts in access to scholar...
04/30/2020

A Framework for Plant Topology Extraction Using Process Mining and Alarm Data

Industrial plants are prone to faults. To notify the operator of a fault...
02/13/2012

Concept Relation Discovery and Innovation Enabling Technology (CORDIET)

Concept Relation Discovery and Innovation Enabling Technology (CORDIET),...
12/29/2018

Applying Text Mining to Protest Stories as Voice against Media Censorship

Data driven activism attempts to collect, analyze and visualize data to ...
05/05/2015

Mining Measured Information from Text

We present an approach to extract measured information from text (e.g., ...