Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free: https://www.ghostery.com/fr/products/

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Logo Principal

Scientific documents annotation with @Web

Durum wheat

The durum wheat ontology (DURUM_WHEAT) is dedicated to the sustainability analysis of the durum wheat chain. DURUM_WHEAT is divided into three parts:

  • The tab Ontology (Ontology -> DURUM_WHEAT) gives an overview of data structuration in order to help with global understanding
  • The tab Documents (Documents-> Durum wheat quality) gives access to a database collecting the information structured by the ontology. Original documents and associated annotated tables (Fair and marketable durum wheat criteria, refaction, bonification, ...) are available through this tab.
  • The tab Query (Query-> Define Scope -> DURUM_WHEAT) allows to find durum wheat quality criteria criteria used in different countries (Europe, USA, Canada, Maghreb, etc.).

 Current data available on this ontology concern durum wheat quality criteria criteria used in different countries (Moisture content rate, chemical content, etc.).

Data are structured around:

  • Symbolic concepts including studied objects and qualitative data: durum wheat varieties, regions, criteria, etc.
  • Quantity concepts including quantitative data: criteria value bounds, price variations, etc.
  • Relation concepts describing relationships between studied objects, qualitative and quantitative data: refaction , bonification, irreprochable durum wheat relations, etc.

 A relation concept is characterized by its label and its arguments; it can have several inputs but only one output. All inputs and outputs are related either to symbolic or quantity concepts.

PrésentationOnto

For instance, the irreprochable durum wheat relation describes the criteria which must fulfill durum wheat to be marketable by collecting data on variety, criterion, grade, nature of the requirement  (inputs) and variety bound (output).

An overview of this set of relation concepts is available on @Web (Ontology -> DURUM_WHEAT-> Explore).

Information about each concept is individually accessible through Ontology -> DURUM_WHEAT-> View.