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A First Prototype for Indexing, Visualizing and Mining Heterogeneous Data in Mediterranean Ecology: Within the IndexMed Consortium Interdisciplinary Framework

机译:在地中海生态学中索引,可视化和挖掘异构数据的第一个原型:在IndexMed联盟跨学科框架内

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Although biodiversity has been extensively studied over the last centuries, recent evidences suggest that links between collected data are still be missing. In order to fill this knowledge gap and at the initiative of the CNRS Institute of Ecology and Environment (INEE), IndexMed, a unique and multidisciplinary consortium consisting of ecologists, sociologists, economists, mathematicians, IT specialists and astronomers was created. Through exploratory projects, IndexMed develops new methods for analyzing data on Mediterranean biodiversity and implements solutions based on interoperability technologies already deployed in other disciplines. In particular, IndexMed aims to build a prototype of such data graphs and "data cubes". This paper will first explore the ability of tools and methods by means of graphs to connect biodiversity objects with non-centralized data. It will then introduce the use of algorithms and graphs to analyze environmental and societal responses and presents a prototype under development.
机译:尽管在过去的几个世纪中对生物多样性进行了广泛的研究,但最近的证据表明,收集的数据之间的联系仍然缺失。为了填补这一知识空白,在CNRS生态与环境研究所(INEE)的倡议下,IndexMed创建了一个由生态学家,社会学家,经济学家,数学家,IT专家和天文学家组成的独特且跨学科的财团。通过探索性项目,IndexMed开发了用于分析地中海生物多样性数据的新方法,并基于已在其他学科中部署的互操作性技术来实施解决方案。特别是,IndexMed旨在构建此类数据图和“数据立方体”的原型。本文将首先通过图形探索工具和方法将生物多样性对象与非集中数据联系起来的能力。然后,它将介绍使用算法和图表来分析环境和社会响应,并提出一个正在开发的原型。

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