Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
  
 

Tobias Vogel

 

 

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

Phone: ++49 331 5509 292
Fax: ++49 331 5509 287
Room: E-2.02.2
E-Mail: T. Vogel

FOAF Description


Research

  • Data Quality Services for Duplicate Detection

Research Areas

  • Duplicate Detection
  • Data Cleaning

Projects

Running Projects

Finished Projects

  • PoSR (Potsdam Service Repository)
  • iDuDe (Duplicate Detection for iOS)

Teaching

  • WS 2009/2010: Master's Seminar "Emerging Web Services Technologies"
  • WS 2009/2010: Workshop "Duplikaterkennung"
  • SS 2010: Master's Seminar: "Similarity Search Algorithms"

Activities

  • Local Arrangements Chair for ICIQ 2009

Publications

POSR: A Comprehensive System for Aggregating and Using Web Services (demo)

AbuJarour, Mohammed; Craculeac, Mircea; Menge, Falko; Vogel, Tobias; Schwarz, Jan-Felix in Proceedings of the IEEE Services Cup 2009 at IEEE International Conference on Web Services (ICWS) 2009 .

Recently, the number of public Web Services has been constantly increasing. Nevertheless, consuming Web Services as an end-user is not straightforward, because creating a suitable user interface for consuming a Web Service requires much effort. In this work, we introduce a novel approach where user interface fragments for consuming Web Services are generated automatically, and aggregated and customized by end-users to match their preferences. Users can collaboratively improve the auto-generated user interfaces and share them among each other. Our three main sources of Web Services are explicit registration, automatic identification and collecting over the Web, as well as extraction and generation from existing web applications. We validated our approach by implementing it as a comprehensive system coined “Posr”.
posr-paper.pdf
Further Information
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Master's Theses

  • <a href="http://www.hpi.uni-potsdam.de/fileadmin/user_upload/fachgebiete/naumann/arbeiten/Thema_Masterarbeit.pdf">Duplicate Detection Across Structured And Unstructured Data</a> - David Sonnabend <br>
  • Duplicate Detection with CrowdSourcing (e.g. Amazon's Mechanical Turk) - David Wenzel