Sie haben Javascript deaktiviert!
Sie haben versucht eine Funktion zu nutzen, die nur mit Javascript möglich ist. Um sämtliche Funktionalitäten unserer Internetseite zu nutzen, aktivieren Sie bitte Javascript in Ihrem Browser.

Info-Icon Diese Seite ist nicht in Deutsch verfügbar
Award for Prof. Dr. Axel Ngonga 
Photo: Next Einstein Forum Bildinformationen anzeigen

Award for Prof. Dr. Axel Ngonga Photo: Next Einstein Forum

| Daniel Obraczka

LIMES 1.3.0 Released

The LIMES development team is happy to announce LIMES 1.3.0!

LIMES is a link discovery framework for the Web of Data, which implements time-efficient approaches for large-scale link discovery based on the characteristics of metric spaces. Our framework provides a user-friendly graphical user interface as well as several machine learning algorithms for enabling an easy configuration of the link discovery task. For more in-depth details about LIMES, see our previous blog post.

The new release includes the following updates:

  • Novel LIMES  HTTP Server.

  • New Manhattan Measure for geospatial similarity calculations

  • GUI and core are now split into two submodules

  • Added MINOFFSET  and MAXOFFSET to the LIMES configuration in order to allow partial resources fetching

  • Changed license to AGPL

  • Updated both user and developer manuals

  • Several bug fixes

You can get the newest release here. Stay tuned for our next LIMES releases!

Die Universität der Informationsgesellschaft