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Authors: Víctor Méndez Muñoz 1 ; Anna Cohen-Nabeiro 2 ; Romain David 3 ; Vicente José Ivars Camáñez 1 ; Alfons Nonell-Canals 4 ; Miquel Angel Senar 1 ; Denis Couvet 5 ; Jean-pierre Feral 3 ; Aurelie Delavaud 2 and Thierry Tatoni 3

Affiliations: 1 Universitat Autònoma de Barcelona (UAB), Spain ; 2 Fondation pour la Recherche sur la Biodiversité (FRB), France ; 3 Institut Méditerranéen de Biodiversité et d’Ecologie marine et continentale (IMBE), CNRS, Aix Marseille Université, IRD and and Université d’Avignon, France ; 4 Mind the Byte and S.L., Spain ; 5 Museum National d’Histoire Naturelle, France

Keyword(s): Biodiversity Data Mining, Ontology Engineering, Biodiversity Metadata Visualization, Graph.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Symbolic Systems

Abstract: Extisting biodiversity databases contain an abundance of information. To turn such information into knowledge, it is necessary to address several information-model issues. Biodiversity data are collected for various scientific objectives, often even without clear preliminary objectives, may follow different taxonomy standards and organization logic, and be held in multiple file formats and utilising a variety of database technologies. This paper presents a graph catalogue model for the metadata management of biodiversity databases. It explores the possible operation of data mining and visualization to guide the analysis of heterogeneous biodiversity data. In particular, we would propose contributions to the problems of (1) the analysis of heterogeneous distributed data found across different databases, (2) the identification of matches and approximations between data sets, and (3) the identificaton of relationships between various databases. This paper describes a proof of concept of an infrastructure testbed and its basic operations, presenting an evaluation of the resulting system in comparison with the ideal expectations of the ecologist. (More)

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Paper citation in several formats:
Méndez Muñoz, V.; Cohen-Nabeiro, A.; David, R.; Ivars Camáñez, V.; Nonell-Canals, A.; Senar, M.; Couvet, D.; Feral, J.; Delavaud, A. and Tatoni, T. (2017). Analysis on the Graph Techniques for Data-mining and Visualization of Heterogeneous Biodiversity Data Sets. In Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS; ISBN 978-989-758-244-8; ISSN 2184-5034, SciTePress, pages 144-151. DOI: 10.5220/0006379701440151

@conference{complexis17,
author={Víctor {Méndez Muñoz}. and Anna Cohen{-}Nabeiro. and Romain David. and Vicente José {Ivars Camáñez}. and Alfons Nonell{-}Canals. and Miquel Angel Senar. and Denis Couvet. and Jean{-}pierre Feral. and Aurelie Delavaud. and Thierry Tatoni.},
title={Analysis on the Graph Techniques for Data-mining and Visualization of Heterogeneous Biodiversity Data Sets},
booktitle={Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS},
year={2017},
pages={144-151},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006379701440151},
isbn={978-989-758-244-8},
issn={2184-5034},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS
TI - Analysis on the Graph Techniques for Data-mining and Visualization of Heterogeneous Biodiversity Data Sets
SN - 978-989-758-244-8
IS - 2184-5034
AU - Méndez Muñoz, V.
AU - Cohen-Nabeiro, A.
AU - David, R.
AU - Ivars Camáñez, V.
AU - Nonell-Canals, A.
AU - Senar, M.
AU - Couvet, D.
AU - Feral, J.
AU - Delavaud, A.
AU - Tatoni, T.
PY - 2017
SP - 144
EP - 151
DO - 10.5220/0006379701440151
PB - SciTePress

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