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Institut Méditerranéen de Biodiversité et d’Ecologie marine et continentale (IMBE), CNRS, Aix Marseille Université, IRD and and Université d’Avignon

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1 Papers

Analysis on the Graph Techniques for Data-mining and Visualization of Heterogeneous Biodiversity Data Sets

Topics: Ontology Engineering; Biological and Biomedical Data Mining; Biomedical Imaging and Data Visualization

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

Digital Object Identifier: 10.5220/0006379701440151

Proceedings of COMPLEXIS 2017, ISBN: 978-989-758-244-8

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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.

Related Ontology Subjects/Areas/Topics (9)

Artificial Intelligence	Information Systems Analysis and Specification	Ontologies and the Semantic Web
Data Engineering	Knowledge Engineering and Ontology Development	Ontology Engineering
Enterprise Information Systems	Knowledge-Based Systems	Symbolic Systems