Skip to main content

User account menu

  • Log in
DBS-Logo

Database Group Leipzig

within the department of computer science

ScaDS-Logo Logo of the University of Leipzig

Main navigation

  • Home
  • Study
    • Exams
      • Hinweise zu Klausuren
    • Courses
      • Current
    • Modules
    • LOTS-Training
    • Abschlussarbeiten
    • Masterstudiengang Data Science
    • Oberseminare
    • Problemseminare
    • Top-Studierende
  • Research
    • Projects
      • Benchmark datasets for entity resolution
      • FAMER
      • HyGraph
      • Privacy-Preserving Record Linkage
      • GRADOOP
    • Publications
    • Prototypes
    • Annual reports
    • Cooperations
    • Graduations
    • Colloquia
    • Conferences
  • Team
    • Erhard Rahm
    • Member
    • Former employees
    • Associated members
    • Gallery

GOMMA Results for OAEI 2012

Breadcrumb

  • Home
  • Research
  • Publications
  • GOMMA Results for OAEI 2012

Groß, A. ; Hartung, M. ; Kirsten, T. ; Rahm, E.

GOMMA Results for OAEI 2012

Seventh International Workshop on Ontology Matching @ ISWC 2012

2012 / 11

Andere

Abstract

We present the OAEI 2012 evaluation results for the matching system GOMMA developed at the University of Leipzig. The original application focus of GOMMA has been the life science domain but as a generic tool it can also match ontologies from other areas. It could thus participate in all OAEI tracks running on the SEALS platform. GOMMA supports several methods for efficiently matching large ontologies in particular parallel matching on multiple cores or machines, reducing the search space as well as reusing and composing previous mappings to related ontologies.

Recent publications

  • 2025 / 8: Slice it up: Unmasking User Identities in Smartwatch Health Data
  • 2025 / 6: SecUREmatch: Integrating Clerical Review in Privacy-Preserving Record Linkage
  • 2025 / 5: Federated Learning With Individualized Privacy Through Client Sampling
  • 2025 / 3: Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning
  • 2025 / 3: Automated Configuration of Schema Matching Tools: A Reinforcement Learning Approach

Footer menu

  • Directions
  • Contact
  • Impressum