Awesome Open Source
Awesome Open Source

LIMES - Link Discovery Framework for Metric Spaces.

Build Status

Generating Jar File (Headless)

installing use:

mvn clean install

Creating the runnable jar file including the dependencies use:

mvn clean package shade:shade -Dcheckstyle.skip=true -Dmaven.test.skip=true

The .jar will be placed in limes-core/target/limes-core-VERSION-SNAPSHOT.jar

Importing into Eclipse

In case Eclipse does not recognize the project as Java. Please run the following from the limes-core/ directory:

mvn eclipse:eclipse

Then, update the project on Eclipse.

How to cite

  title={{LIMES - A Framework for Link Discovery on the Semantic Web}},
  author={Axel-Cyrille {Ngonga Ngomo} and Mohamed Ahmed Sherif and Kleanthi Georgala and Mofeed Hassan and Kevin Dreßler and Klaus Lyko and Daniel Obraczka and Tommaso Soru},
  journal={KI-K{\"u}nstliche Intelligenz, German Journal of Artificial Intelligence - Organ des Fachbereichs "Künstliche Intelligenz" der Gesellschaft für Informatik e.V.},
  url = {},

More details

Get A Weekly Email With Trending Projects For These Topics
No Spam. Unsubscribe easily at any time.
javascript (68,065
machine-learning (3,444
artificial-intelligence (596
optimization (272
rdf (81
scalability (60
semantic-web (40
linked-data (39

Find Open Source By Browsing 7,000 Topics Across 59 Categories