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!