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Knowledge Management System for Geosciences: An Approach to an Igneous Rocks Analysis Data Model

机译:地球科学知识管理系统:一种火化岩石分析数据模型的方法

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Petrology, petrography and ordinary geologic data compose an ever increasing collection of information for post-processing analysis. Geoscientists at Universidad Aut??noma de Chihuahua, are consistently working with these data collections for research purposes. Scientists record this information, as well as that obtained in bibliography references, in order to study it and lead to important research findings. Yet, the quantity of data is frequently so overwhelming that it is impossible to keep track of all the relevant information when it is allocated in different data sources. Likewise, computer engineers specialized in Data Analysis & Knowledge Management find an invaluable "data treasure" in big amounts of information, whether or not it is divided among different data sources. We address this geoscientists' problem by presenting the design of an igneous rocks data model, ready for data integration, processing and analysis using the Business Intelligence and Analytics (BI&A) tools, eventually illustrating the efficacy of this approach on several real geological research related problems, by providing useful insights and decision-making supports.
机译:岩石学,岩画和普通地质数据构成了越来越多地收集后处理分析。在Universidad Aut的地球科学家(Nooma de Chihuahua),始终如一地与这些数据收集进行研究。科学家们记录了这些信息,以及在参考书目中获得的参考,以便研究它并导致重要的研究结果。然而,数据的数量通常是压倒性地,不可能在不同数据源分配时跟踪所有相关信息。同样,专门在数据分析和知识管理中专门的计算机工程师在大量信息中找到了一个非常宝贵的“数据宝”,无论是否在不同的数据源之间划分。我们通过呈现出点火岩数据模型的设计来解决这个地理学家的问题,准备使用商业智能和分析(BI&A)工具进行数据集成,处理和分析,最终说明这种方法对几个真实地质研究相关问题的效果,通过提供有用的见解和决策支持。

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