@inproceedings{Beckstein14:EAH,
    type = {inproceedings},
    key = {Beckstein14:EAH},
    title = {Explorative Analysis of Heterogeneous, Unstructured, and Uncertain Data: A Computer Science Perspective on Biodiversity Research},
    author = {C. Beckstein and S. Böcker and M. Bogdan and H. Bruelheide, H. M. Bücker and Joachim Denzler and P. Dittrich and I. Grosse and A. Hinneburg and B. König-Ries and F. Löffler and M. Marz and M. Müller-Hannemann and M. Winter and W. Zimmermann},
    booktitle = {International Conference on Data Management Technologies and Applications (DATA)},
    year = {2014},
    pages = {251-257},
    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.},
}