Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
 

Dr. Michael Loster

Postdoctoral Researcher

Hasso-Plattner-Institut
für Softwaresystemtechnik
Prof.-Dr.-Helmert-Straße 2-3
D-14482 Potsdam

Phone: +49 331 5509 286
Fax: +49 331 5509 287
Room: F-2.08
Email: Michael Loster
Twitter: @miclost

Homepage: loster.io
Research: GoogleScholar, DBLPResearchGate, GitHub

 


Research Interests

  • Knowledge Engineering
  • Text Mining
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Opinion Mining
  • Data Mining

Projects

  • COLT: A few-shot knowledge validation approach using rules
  • SNNDedupe: An neural approach for entity resolution leveraging siamese neural networks and knowledge transfer
  • CurEx: A system for extracting, curating, and exploring domain-specific knowledge graphs

Teaching

Bachelor Projects:

  • Contagion: Analytical Tools for Semantic Company Networks (2015/2016)
  • Ingestion: Data Acquisition and Analysis for Semantic Enterprise Networks (2016/2017)

Master Thesis:

  • From Text to Facts: Relation Extraction on German Company Websites (Tanja Bergmann, 2016)
  • German Organization Name Part Classification (Manuel Hegner, 2016)

Bachelor Thesis:

  • Evaluation of Entity Linking Models on Business Data (Jan Ehmueller, 2017)
  • Analysis and Simplification of Business Graphs (Milan Gruner, 2017)
  • Distributed Business Relations in Apache Cassandra (Nils Strelow, 2017)
  • Transforming Company Network Information out of multiple heterogenous Sources into a Graph Database (Marvin Luca Gorecki, 2016)
  • Name Matching German Companies (Willi Raschkowski, 2016)
  • Visualization of Enterprise Networks (Benjamin Feldmann, 2016)
  • Building a Semantic Company Graph using Knowledge Bases (Fabian Windheuser, 2016)
  • Generating Aliases to Improve Company Recognition in Text (Alexander Immer, 2016)

Publications

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