Publikation:

Building a Data Warehouse for Twitter Stream Exploration

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Rehmann_252327.pdf
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Datum

2012

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URI (zitierfähiger Link)
http://nbn-resolving.de/urn:nbn:de:bsz:352-252327
DOI (zitierfähiger Link)
https://doi.org/10.1109/ASONAM.2012.230
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Urheberrechtlich geschützt

Angaben zur Forschungsförderung

Projekt

Exploration und Visualisierung großer Informationsmengen
Open Access-Veröffentlichung
Open Access Green

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Informatik und Informationswissenschaft: Publikationen
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Titel in einer weiteren Sprache

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Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. IEEE, 2012, pp. 1341-1348. ISBN 978-1-4673-2497-7. Available under: doi: 10.1109/ASONAM.2012.230

Zusammenfassung

In the recent year Twitter has evolved into an extremely popular social network and has revolutionized the ways of interacting and exchanging information on the Internet. By making its public stream available through a set of APIs Twitter has triggered a wave of research initiatives aimed at analysis and knowledge discovery from the data about its users and their messaging activities. While most of the projects and tools are tailored towards solving specific tasks, we pursue a goal of providing an application in dependent and universal analytical platform for supporting any kind of analysis and knowledge discovery. We employ the well established data warehousing technology with its underlying multidimensional data model, ETL routine for loading and consolidating data from different sources, OLAP functionality for exploring the data and data mining tools for more sophisticated analysis. In this work we describe the process of transforming the original stream into a set of related multidimensional cubes and demonstrate how the resulting data warehouse can be used for solving a variety of analytical tasks. We expect our proposed approach to be applicable for analyzing the data of other social networks as well.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Twitter, Data mining, Data models, Data Warehouses, OLAP, Social Network

Konferenz

2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), 26. Aug. 2012 - 29. Aug. 2012, Istanbul
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ISO 690REHMAN, Nafees Ur, Svetlana MANSMANN, Andreas WEILER, Marc H. SCHOLL, 2012. Building a Data Warehouse for Twitter Stream Exploration. 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012). Istanbul, 26. Aug. 2012 - 29. Aug. 2012. In: 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. IEEE, 2012, pp. 1341-1348. ISBN 978-1-4673-2497-7. Available under: doi: 10.1109/ASONAM.2012.230
BibTex
@inproceedings{Rehman2012-08Build-25232,
  year={2012},
  doi={10.1109/ASONAM.2012.230},
  title={Building a Data Warehouse for Twitter Stream Exploration},
  isbn={978-1-4673-2497-7},
  publisher={IEEE},
  booktitle={2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining},
  pages={1341--1348},
  author={Rehman, Nafees Ur and Mansmann, Svetlana and Weiler, Andreas and Scholl, Marc H.}
}
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