Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
  
 

Stratosphere

Stratosphere is a joint DFG project conducted by the Technische Universität Berlin, Humboldt Universität Berlin, and the Hasso-Plattner-Institut. It explores how the elasticity of clouds can be exploited for processing analytic queries massively in parallel. Unlike most traditional DBMS, Stratosphere inherently supports text-based and semi-structured data.

Official Project Site

The sub-projects at HPI focus on data quality improvements of linked open data, efficient and scalable data profiling, and knowledge discoevry.

Data Cleansing

We defined the declarative data cleansing language Meteor, implement the underlying basic operations, and develop cost estimations for the operations. Furthermore, we provide test data sets and example queries to evaluate the efficiency and effectivity of the data cleansing process.

Data Profiling

Detecting dependencies in the evergrowing amounts of data has a high computational complexity. One way to cope with this complexity is to distribute the computational work among multiple interconnected computers. However, most existing data profiling algorithms are not designed for parallel execution on computer clusters but rather to run on a single machine. Therefore, we research distributed modifications of existing algorithms as well as new algorithms that can be efficiently executed on computer clusters and that scale out on the number of the cluster nodes.

Knowledge Discovery

Driven by applications such as social media analytics, Web search, advertising, recommendation, mobile sensoring, genomic sequencing, astronomical observations, etc., the need for scalable learning, mining, and knowledge discovery methods is steadily growing. Often the challenge is to automatically process and analyze TBs of evolving data. Extracting value (e.g., understanding the underlying structure and making predictions) from such data, before it is outdated, is a major concern. Therefore, the goal is to enable the scalability of such applications based on Stratosphere.

Please contact Felix Naumann, Toni Grütze (Knowledge Discovery on Stratosphere), or Sebastian Kruse (Data Profiling on Stratosphere) for further questions.

Former members

Publications

What was Hillary Clinton doing in Katy, Texas?

Gruetze, Toni and Krestel, Ralf and Lazaridou, Konstantina and Naumann, Felix
In Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, 3-7 April, 2017, 2017 ACM.
hpi.de/fileadmin/user_upload/fachgebiete/naumann/publications/2017/wwhcdikt_www.pdf
accepted

Abstract:

During the last presidential election in the United States of America, Twitter drew a lot of attention. This is because many leading persons and organizations, such as U.S. president Donald J. Trump, showed a strong affection to this medium. In this work we neglect the political contents and opinions shared on Twitter and focus on the question: Can we determine and track the physical location of the presidential candidates based on posts in the Twittersphere?

BibTeX file

@inproceedings{GruetzeClintonTexas2017,
author = { Gruetze, Toni and Krestel, Ralf and Lazaridou, Konstantina and Naumann, Felix },
title = { What was Hillary Clinton doing in Katy, Texas? },
year = { 2017 },
month = { 0 },
abstract = { During the last presidential election in the United States of America, Twitter drew a lot of attention. This is because many leading persons and organizations, such as U.S. president Donald J. Trump, showed a strong affection to this medium. In this work we neglect the political contents and opinions shared on Twitter and focus on the question: Can we determine and track the physical location of the presidential candidates based on posts in the Twittersphere? },
url = { hpi.de/fileadmin/user_upload/fachgebiete/naumann/publications/2017/wwhcdikt_www.pdf },
publisher = { {ACM} },
booktitle = { Proceedings of the 26th International Conference on World Wide Web, {WWW} 2017, Perth, Australia, 3-7 April, 2017 },
priority = { 0 }
}

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last change: Thu, 02 Mar 2017 12:01:25 +0100