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 discover

y 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!

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