• Aucun résultat trouvé

Results of IndexMed GRAIL Days 2016: How to use standards to build GRAphs and mIne data for environmentaL research? IndexMeed consortium for data mining in ecology

N/A
N/A
Protected

Academic year: 2021

Partager "Results of IndexMed GRAIL Days 2016: How to use standards to build GRAphs and mIne data for environmentaL research? IndexMeed consortium for data mining in ecology"

Copied!
2
0
0

Texte intégral

(1)

HAL Id: hal-02295974

https://hal.archives-ouvertes.fr/hal-02295974

Submitted on 24 Sep 2019

HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Results of IndexMed GRAIL Days 2016: How to use standards to build GRAphs and mIne data for environmentaL research? IndexMeed consortium for

data mining in ecology

Romain David, Jean-Pierre Féral, Anne-Sophie Archambeau, Fanny Arnaud, David Auber, Nicolas Bailly, Loup Bernard, Cyrille Blanpain, Vincent Breton,

Denis Couvet, et al.

To cite this version:

Romain David, Jean-Pierre Féral, Anne-Sophie Archambeau, Fanny Arnaud, David Auber, et al..

Results of IndexMed GRAIL Days 2016: How to use standards to build GRAphs and mIne data for environmentaL research? IndexMeed consortium for data mining in ecology. RDA Ninth Plenary Meeting ”Data Infrastructures for Open Science”, Apr 2017, Barcelona, Spain. 2017,

�10.13140/RG.2.2.32504.44806�. �hal-02295974�

(2)

RDA 9th Plenary 2017 april 5 -7 - Barcelo na

Results of IndexMed GRAIL Days 2016: How to use standards

to build GRAphs and mIne data for environmentaL research?

IndexMeed consortium for data mining in ecology

•Romain David*1, Romain David*1, Jean-Pierre Féral1, Anne-Sophie Archambeau2, Fanny Arnaud3, David Auber4, Nicolas Bailly5, Loup Bernard6, Cyrille Blanpain7, Vincent Breton8, Denis Couvet9, Anna Cohen-Nabeiro10, Aurélie Delavaud10, Alrick Dias1, Sophie Gachet1, Robin Goffaux8, Karina Gibert11, Manuel Herrera12, Dino Ienco13, Romain Julliard9, Julien Lecubin7, Yannick Legre14, Michelle Leydet1, Grégoire Loïs9, Victor Méndez Muñoz15, Jean-Charles Meunier16, Isabelle Mougenot17, Sophie Pamerlon3, Jean- Claude Raynal18, Geneviève Romier8, Dad Roux-Michollet19, Alison Specht9, Christian Surace20, Thierry Tatoni1 and the IndexMeed community

Contact Author : Romain DAVID (IMBE, CNRS, Aix-Marseille Université), romain.david@imbe.fr (1) and Jean-Pierre FÉRAL (IMBE, CNRS, Aix-Marseille Université), jean-pierre.feral@imbe.fr (1) Anne-Sophie ARCHAMBEAU (GBIF France) archambeau@gbif.fr (2) Fanny ARNAUD (ENS Lyon, OHM Vallée du Rhône) fanny.arnaud@ens-lyon.fr (3) David AUBER (LABRI, Bordeaux) david.auber@labri.fr (4) Nicolas BAILLY (HCMR/IMBBC and MedOBIS, Heraklion, Greece) nbailly@hcmr.gr (5) Loup BERNARD (ARCHIMEDE-UMR 7044, Université de Strasbourg/CNRS) loup.bernard@unistra.fr (6) Cyrille BLANPAIN (SIP OSU Pytheas, CNRS) blanpain@osupytheas.fr (7) Vincent BRETON (IdGC – LPC, CNRS, France Grilles), breton@idgrilles.fr (8) Anna COHEN NABEIRO (ECOSCOPE, FRB) anna.cohen-nabeiro@fondationbiodiversite.fr (9) Alrick DIAS (IMBE, CNRS, Aix-Marseille Université), alrick.dias@imbe.fr (1) Aurélie DELAVAUD (ECOSCOPE, FRB) aurelie.delavaud@fondationbiodiversite.fr (9) Robin GOFFAUX (ECOSCOPE, FRB) robin.goffaux@fondationbiodiversite.fr (9) Sophie GACHET (IMBE, CNRS, Aix-Marseille Université) sophie.gachet@imbe.fr (1) Karina GIBERT (Department of Statistics and Operations Research, Universitat Politecnica de Catalunya Barcelona) karina.gibert@upc.edu (10) Manuel HERRERA FERNANDEZ (EDEn - Dept. of Architecture and Civil Eng., University of Bath-UK) amhf20@bath.ac.uk (11) Dino IENCO (UMR TETIS, Montpellier) dino.ienco@teledetection.fr Romain JULLIARD (Vigie-Nature, CESCO - Centre d'Écologie et des Sciences de la Conservation Muséum national d'Histoire naturelle) romain.julliard@mnhn.fr Julien LECUBIN (SIP OSU Pytheas, CNRS), julien.lecubin@osupytheas.fr Yannick LEGRE (European Grill Infrastructure) yannick.legre@egi.eu Michelle LEYDET (IMBE, CNRS, Aix-Marseille Université), michelle.leydet@imbe.fr (1) Grégoire LOIS (Vigie-Nature, CESCO - Centre d'Écologie et des Sciences de la Conservation Muséum national d'Histoire naturelle) gregoire.lois@mnhn.fr Victor MENDEZ MUNOZ (Department of Computer Architecture and Operating Systems (CAOS) Area of Computer Architecture and Technology) victor.mendez@uab.es Jean-Charles MEUNIER (LAM / CeSAM) jean-charles.meunier@lam.fr Isabelle MOUGENOT (UMR Espace DEV, Montpellier) isabelle.mougenot@univ-montp2.fr Sophie PAMERLON (GBIF-France) pamerlon@gbif.fr Geneviève ROMIER (IdGC, CNRS, France Grilles) genevieve.romier@idgrilles.fr Dad ROUX-MIHOLET (GRAIE, OHM Vallée du Rhône) Alison SPECHT (CESAB, FRB) alison.specht@fondationbiodiversite.fr Christian SURACE (LAM, CNRS, Aix- Marseille Université), christian.surace@lam.fr Jean-Claude RAYNAL (ECCOREV FR3098, CNRS, Aix-Marseille Université), raynal@eccorev.fr Thierry TATONI (IMBE, CNRS, Aix-Marseille Université), thierry.tatoni@imbe.fr

The IndexMeed project participants are now exploring the ability of two

scientific communities (ecology sensu lato and computer sciences) to work together. The uses of data from biodiversity research demonstrate the

prototype functionalities and introduce new perspectives to analyze

environmental and societal responses including decision-making. Output of the seminar lists scientific questions that can be resolved by the new data mining approaches and proposes new ways to investigate heterogeneous environmental data with graph mining.

2017 : inter-community actions planed

Animated by: Supported by:

From last 2016 seminar, IndexMed became IndexMeed (Indexing for Mining Ecological and Environmental Data). The task of the newly created consortium of IndexMeed is to index biodiversity data (and to provide an index of qualified existing open datasets) and make it

possible to build graphs to assist in the analysis and development of new ways to mine data and to build new Intelligent Decision Support Systems (IDSS). Architecture of this project was defined at EGI Workshop “design your e-infrastructure” (Amsterdam) (see below)

Ecology Community

http://www.indexmed.eu and soon http://www.indexmeed.eu

Contacts : Romain DAVID, Jean-Pierre FERAL, Dino IENCO, Thierry TATONI romain.david@imbe.fr

ICST* Community

• The first day will be devoted to the results of the workshops and the exchanges between ecological researchers and researchers in ICST.

• The second day will be dedicated to a reflection in the form of workshops concerning the theoretical locks to be lifted (ICST) concerning

environmental data, and the elaboration of a response to a call for projects for a specific action on the graphs of environmental data.

• A third day will bring together small groups of researchers to structure the response to call for projects according to coherent Work Packages.

The Inter operating data challenge: How to mine heterogeneous non linked environmental data for research and management?

* DAVID et al 2016. David R., J.-P. Féral, A-S. Archambeau, N. Bailly, C. Blanpain, V. Breton, A. De Jode, A. Delavaud, A. Dias, S.

Gachet, D. Guillemain, J. Lecubin, G. Romier, C. Surace, L. Thierry de Ville d’Avray, C. Arvanitidis, A. Chenuil, M.E. Ҫinar, D.

Koutsoubas, S. Sartoretto, T. Tatoni ; “IndexMed projects : new tools using the CIGESMED DataBase on Coralligenous for indexing, visualizing and data mining based on graphs”. In : Sauvage S, Sánchez-Pérez J-M., Rizzoli, A.E. (Eds.), Proceedings of the 8th

International Congress on Environmental Modelling and Software, Environmental modelling and software for supporting a sustainable future, Vol. 3, pp.656-665, Toulouse, France. July 2016

Data produced by biodiversity research projects that evaluate and monitor Good Environmental Status have a high potential for use by stakeholders involved in environmental management. The lack of specific scientific

objectives, poor organizational logic, and a characteristically disorganized collection of information leads to a decentralized data distribution,

hampering environmental research. In such a heterogeneous system across different organizations and data formats, it is difficult to efficiently harmonize the outputs. There are few tools available to assist.

Standards (including TDWG recommendations) and specific protocols can be applied to interconnect databases. Such semantic approaches greatly increase data interoperability. The aim of this poster is to present the 2016 IndexMed

workshop results (https://indexmed2016.sciencesconf.org ) and recent actions of the consortium (renamed IndexMeed - Indexing for Mining Ecological and Environmental Data): new approaches to investigate complex research

questions and support the emergence of new scientific hypotheses.

Current developments in data mining based on graphs, the potential for

important contributions to environmental research, particularly about strategic

decision-making, and new ways of

organizing data were also discussed at the workshop.

In particular, this workshop promoted decisions on how:

• to analyze heterogeneous distributed data spread in different databases,

• to create matches and incorporate some approximations,

• to identify statistical relationships between observed data and the emergence of contextual patterns, and

• to encourage openness and the sharing of data, in order to value data and their utilization.

Indeed, we are delighted to invite you to the

2017 IndexMeed Seminar ”SAGES DAYS”

Sciences and Algorithms around Graphs in Environment and Societies that will take place on November 15th -17th 2017 in Paris, at the CNRS headquarters.

Following the successful workshops of 2014, 2015 and 2016, this 4th

seminar will promote exchanges between participants, the acquisition of practical methods and will explore new ways to develop algorithms to mine graphs constructed with heterogeneous environmental data.

Thought as a collaborative space between experts in ecology and

biodiversity and experts in the field of ICST, this one has the vocation of developing new research based on the approaches related to the

graphs, and in particular to construct a project bearing

• on the theoretical aspects (ICST) of algorithms for digging graphs according to scientific questions and

• on the theoretical aspects of integrating heterogeneous

environmental data with a view to construct bio-scenarios and to assist in environmental decision-making.

The 2016 IndexMeed Seminar welcomes abstracts for original oral and poster contributions until the 1st of October 2017. The online submission process will be opened soon until 1st of November

on https://indexmeed2017.sciencesconf.org.

Contact : indexmeed2017@sciencesconf.org

This SAGES seminar is open to all.

Registration is free and open to any researcher. PhD and Master

students are welcome.

Références

Documents relatifs

We discuss eight challenges: making models simpler, protecting privacy and confidentiality, dealing with legacy systems, stream preprocessing, timing and availability of

“ a process that uses a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predictions.”.?. KDD CUP

(1) As demonstrated using the DPOSS data, the best strategy is to use small number of starting points and relatively large number of random starts.. The best solution is pretty

■ PMML était utilisé pour transporter des modèles depuis les environnements de création (SAS, SPSS, KXEN) vers les bases de

With three effect resources, it is now possible to generate three different dependence graphs, one for each of our effect resources: a Data Dependence Graph, an Environment

Architecture of RIS (Azeroual et al.. The data collection contains the internal and external data sources. The RIS collects information about the research activities and

❼ Exactly coupled decompositions: additionally to exact coupling of one of the factors, if the data sets are not corrupted by noise, the likelihoods are also products of delta

Provide training not only to curators, but also to principal investigators, clinical researchers, IT staff and legal experts to help them understand the importance of curation and