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!