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Explorative Analysis of Heterogeneous, Unstructured, and Uncertain Data: A Computer Science Perspective on Biodiversity Research
Title: | Explorative Analysis of Heterogeneous, Unstructured, and Uncertain Data: A Computer Science Perspective on Biodiversity Research |
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Authors: | C. Beckstein and S. Böcker and M. Bogdan and H. Bruelheide, H. M. Bücker and J. 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 |
Source: | SCITEPRESS |
Date: | 2014-10-01 |
Type: | Publication |
Abstract: |
We outline a blueprint for the development of new computer science approaches for the |
BibTex: |
@inproceedings{2014:10, author = "C. Beckstein and S. B{\"o}cker and M. Bogdan and H. Bruelheide, H. M. B{\"u}cker and J. Denzler and P. Dittrich and I. Grosse and A. Hinneburg and B. K{\"o}nig-Ries and F. L{\"o}ffler and M. Marz and M. M{\"u}ller-Hannemann and M. Winter and W. Zimmermann", title = "Explorative Analysis of Heterogeneous, Unstructured, and Uncertain Data: A Computer Science Perspective on Biodiversity Research", booktitle = "Proceedings of the 3rd International Conference on Data Management Technologies and Applications, DATA 2014, Vienna, Austria, August 29--31, 2014", editor = "M. Helfert and A. Holzinger and O. Belo and C. Francalanci", year = 2014, pages = "251--257", publisher = "SCITEPRESS", 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.", } |