Prof. Dr. Felix Naumann

Michael Loster

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

Phone: +49 331 5509 286
Fax: +49 331 5509 287
Room: G-3.2.10
Email: Michael Loster


Research Interests

  • Text Mining
  • Opinion Mining
  • Natural Language Processing
  • Machine Learning
  • Data Mining


Bachelor Projects:

  • Analytical Tools for Semantic Company Networks (2015/2016)

Master Thesis:

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


Combination of Rule-based and Textual Similarity Approaches to Match Financial Entities

Samiei, Ahmad; Koumarelas, Ioannis; Loster, Michael; Naumann, Felix in ACM , 2016 .

Record linkage is a well studied problem with many years of publication history. Nevertheless, there are many challenges remaining to be addressed, such as the topic addressed by FEIII Challenge 2016. Matching financial entities (FEs) is important for many private and governmental organizations. In this paper we describe the problem of matching such FEs across three datasets: FFIEC, LEI and SEC.
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