Facilitating efficient knowledge management and discovery in the Agronomic Sciences

Aravind Venkatesan 1, * Pierre Larmande 1, 2 Clement Jonquet 1, 3 Manuel Ruiz 1, 4 Patrick Valduriez 1, 5
* Corresponding author
3 SMILE - Système Multi-agent, Interaction, Langage, Evolution
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
5 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The advancement of empirical and information technologies in the recent years have drastically increased the amount of data in fields of Life Sciences, and Agronomic Sciences. To understand the complexity of a given system it is important to link (integrate) diverse datasets. A promising solution towards data integration challenges is offered by the Semantic Web technologies1. The Semantic Web was proposed, to remedy the fragmentation of all potentially useful information on the web. Currently, the bio-medical domain has accepted the Semantic Web technologies as a means to manage (integrate) knowledge. Although we are witnessing an increased usage of ontologies within the Agronomic Sciences, the data in this domain is highly distributed in nature. Utilizing these data resources more effectively and taking advantage of associated cross-disciplinary research opportunities poses a major challenge to both domain experts and information technologists.
Document type :
Poster communications
Complete list of metadatas

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01071822
Contributor : Clement Jonquet <>
Submitted on : Monday, October 6, 2014 - 5:08:04 PM
Last modification on : Monday, December 23, 2019 - 11:04:21 AM

Identifiers

  • HAL Id : lirmm-01071822, version 1

Citation

Aravind Venkatesan, Pierre Larmande, Clement Jonquet, Manuel Ruiz, Patrick Valduriez. Facilitating efficient knowledge management and discovery in the Agronomic Sciences. RDA: Research Data Alliance, Sep 2014, Amsterdam, Netherlands. 4th Plenary Meeting of the Research Data Alliance, 2014. ⟨lirmm-01071822⟩

Share

Metrics

Record views

759