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

Biorefinery

The biorefinery ontology (BIOREFINERY) is dedicated to the determination of the best match treatment-biomass allowing the achievement of best constitutant extraction yields with minimum environmental impact. IC2ACV is divided into three parts:

  • The tab Ontology (Ontology -> BIOREFINERY) gives an overview of data structuration in order to help with global understanding
  • The tab Documents (Documents-> Bioref-XXX) gives access to a database collecting the information then structured by the ontology. Original papers and associated annotated tables (biomass composition, enzymatic characterization and process description) are available through this tab.
  • The tab Query (Query-> Define Scope -> BIOREFINERY) allows to find best pretreatments-biomass matches by defining research criteria (biomass type and characteristics, pretreatment type, etc.).

 Data available on this ontology concern biomass composition and characterization (crystallinity, surface area, particle size, porosity, etc.), physico-chemical pretreatments, enzymatic hydrolysis, and experimental processes descriptions.

Data are structured around:

  • Symbolic concepts including studied objects and qualitative data: biomass type and state, chemical reagent, treatments, etc.
  • Quantity concepts including quantitative data: biomass quantity, buffer concentration, specific surface, etc.
  • Relation concepts describing relationships between studied objects, qualitative and quantitative data: physico-chemical pretreatment relation, enzymatic hydrolysis, extrusion relation, 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.

Exemple bioraf

The relation concept which represents the Milling operation

For instance, the Milling Solid qty output relation describes the milling process by collecting data on biomass type and quantity, milling type, duration, energy and rotation speed (inputs) and output solid constituent quantity (output).

As another example, the relation Milling Contituent Size will have the same inputs but will take for output the constituent size.

The entire set of relation concepts aims to model biorefinery pre-treatments.

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

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