Explorative Analysis of Heterogeneous, Unstructured, and Uncertain Data - A Computer Science Perspective on Biodiversity Research

Clemens Beckstein · Sebastian Böcker · Martin Bogdan · Helge Bruelheide · H. Martin Bücker · Joachim Denzler +9 more

4 citations0/0 files storedInternational Conference on Data Science, Technology and Applications (DATA)

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Big Data Technologies and Applications Research Data Management Practices Scientific Computing and Data Management

Abstract

We outline a blueprint for the development of new computer science approaches for the management and analysis of big data problems for biodiversity science. Such problems are characterized by a combination of different data sources each of which owns at least one of the typical characteristics of big data (volume, variety, velocity, or veracity). For these problems, we envision a solution that covers different aspects of integrating data sources and algorithms for their analysis on one of the following three layers: At the data layer, there are various data archives of heterogeneous, unstructured, and uncertain data. At the functional layer, the data are analyzed for each archive individually. At the meta-layer, multiple functional archives are combined for complex analysis.

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